Professor II
Anne H Schistad Solberg
- Avdeling Bildeanalyse og jordobservasjon
- E-post asolberg@nr.stage.dekodes.no
Publikasjoner
- 76 publikasjoner funnet
Jenssen, Robert; Eikvil, Line; Solberg, Anne H Schistad; Solheim, Inger og Bjørklund, Petter. (2026).
Visual Intelligence Annual Report 2025.
Jenssen, Robert; Eikvil, Line; Solberg, Anne H Schistad; Solheim, Inger og Bjørklund, Petter. (2025).
Visual Intelligence Annual Report 2024.
Vis sammendrag
The Visual Intelligence Annual Report 2024 highlights the centre's progress, activities and achieved innovations for 2022. It describes new deep learning methods which address pressing societal needs in the fields of medicine and health, marine science, the energy sector, and earth observation.
Jenssen, Robert; Eikvil, Line; Solberg, Anne H Schistad; Solheim, Inger og Bjørklund, Petter. (2024).
Visual Intelligence Annual Report 2023.
Aasan, Marius; Kolbjørnsen, Odd; Solberg, Anne H Schistad og Rivera, Adín Ramírez. (2024).
A Spitting Image: Modular Superpixel Tokenization in Vision Transformers. CVF/ECCV
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Vitenskapelig foredrag
Aasan, Marius; Kolbjørnsen, Odd; Solberg, Anne H Schistad og Rivera, Adín Ramírez. (2024).
A Spitting Image: Modular Tokenization in Vision Transformers. SFI Visual Intelligence
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poster
Aasan, Marius; Kolbjørnsen, Odd; Solberg, Anne H Schistad og Rivera, Adín Ramírez. (2024).
A Spitting Image: Modular Superpixel Tokenization in Vision Transformers. CVF/ECCV
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Vitenskapelig foredrag
Jenssen, Robert; Eikvil, Line; Solberg, Anne H Schistad og Solheim, Inger. (2023).
Visual Intelligence Annual Report 2022.
Jenssen, Robert; Eikvil, Line; Solberg, Anne H Schistad og Solheim, Inger. (2022).
Visual Intelligence Annual Report 2021.
Vis sammendrag
The Visual Intelligence Annual Report 2021 highlights the centre's progress, activities and achieved innovations for 2021. It describes new deep learning methods which address pressing societal needs in the fields of medicine and health, marine science, the energy sector, and earth observation.
Jenssen, Robert; Eikvil, Line; Solberg, Anne H Schistad og Solheim, Inger. (2021).
Visual Intelligence Annual Report 2020.
Vis sammendrag
The Visual Intelligence Annual Report 2020 highlights the centre's progress, activities and achieved innovations for 2020. It describes new deep learning methods which address pressing societal needs in the fields of medicine and health, marine science, the energy sector, and earth observation.
Jenssen, Robert; Solberg, Anne H Schistad og Eikvil, Line. (2021).
Norge er verdensledende
på bildeanalyse med
kunstig intelligens.
NVA
Intervju
Salberg, Arnt Børre; Rudjord, Øystein og Solberg, Anne H Schistad. (2014).
Oil spill detection in hybrid-polarimetric SAR images.
Vis sammendrag
Oil spill detection in SAR images operating in a hybrid-polarimetric mode is examined. We propose and review several strategies for oil spill detection in hybrid-polarimetric SAR data. The retrieved measures are successfully applied to SAR data covering oil spill experiments outside Norway and the Deepwater Horizon incident in the Gulf of Mexico. It is shown that, under the assumption of a two-scale Bragg scattering model, a coherence measure may be recovered equally well from hybrid-polarimetric data, as for full-polarimetric data, and that this measure may be retrieved directly from the measurements without the need for any additional assumptions. The results show that low-wind lookalikes may be suppressed at the same time as the contrast of the oil spills is maintained using hybrid-polarimetric data and that multifeature images may be constructed to further enhance the oil spill detection performance. Due to the potential of wide swath widths, we conclude that hybrid-polarity is an attractive mode for future SAR-based oil spill monitoring.
Salberg, Arnt Børre; Longépé, Nicolas; Hansen, Morten Wergeland; Rudjord, Øystein; Larsen, Siri Øyen; Solberg, Anne H Schistad; Zortea, Maciel og Mouche, Alexis A.. (2013).
Report SAR analysis and comparisons - EU FP-7 project SeaU, Deliverable 12.1.
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Rapport
Salberg, Arnt Børre; Rudjord, Øystein og Solberg, Anne H Schistad. (2012).
Model based oil spill detection using polarimetric SAR.
Vis sammendrag
In this paper we propose a model-based oil spill detection approach using polarimetic SAR data. The underlying hypothesis is that the co-polarized phase difference is zero when assuming Bragg scattering mechanisms. From this hypothesis we may construct a (linear) model and derive features that discriminates oil slicks from sea water using dual-polarized (VV and HH) SAR data. We also investigate the model when assuming X-Bragg scattering, and derive a feature based on the Pauli decomposition that are invariant to the tilt angle reflection plane. The oil spill detection methodology is evaluated on a Radarsat-2 quad-pol image that covers various types of oil released in an oil-in-sea exercise in Norway. The results show that the oil spills are clearly visible in all of the derived feature-based images. Furthermore, the feature images have a more homogeneous background than the VV-polarized SAR image, in particular the Pauli-based feature image that suppresses a non-oil slick present in the VV-image.
Salberg, Arnt Børre; Rudjord, Øystein og Solberg, Anne H S. (2012).
Oil spill detection in compact polarimetry SAR images. ESA
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Vitenskapelig foredrag
Salberg, Arnt Børre; Rudjord, Øystein og Solberg, Anne H Schistad. (2012).
Model based oil spill detection using polarimetric SAR.
Solberg, Anne H S og Trier, Øivind Thorvald Due. (2011).
Radarsat-2 oil spill detection. Performance study 2010.
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Rapport
Salberg, Arnt-Børre; Solberg, Svein; Solberg, Anne H. Schistad og Lange, Holger. (2009).
Leaf Area Index Estimation from Land Cover Classification Based on Hyperspectral Data.
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Rapport
Solberg, Anne H. Schistad og Trier, Øivind Thorvald Due. (2009).
SatHavOlje. Improvements during the 2008 project.
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Rapport
Huseby, Ragnar Bang og Solberg, Anne H. Schistad. (2008).
Statistical analysis of oil spill data.
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Rapport
Solberg, Anne Helene Schistad; Brekke, C og Husøy, Per Ove. (2007).
Oil spill detection in Radarsat and Envisat SAR images.
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We present algorithms for automatic detection of oil spills in synthetic aperture radar (SAR) images. The algorithms consist of three main parts, namely: 1) detection of dark spots; 2) feature extraction from the dark spot candidates; and 3) classification of dark spots as oil spills or look-alikes. The algorithms have been trained on a large number of Radarsat and Envisat Advanced Synthetic Aperture Radar (ASAR) images. The performance of the algorithm is compared to manual and semiautomatic approaches in a benchmark study using 59 Radarsat and Envisat images. The algorithms can be considered to be a good alternative to manual inspection when large ocean areas are to be inspected
Brekke, Camilla og Solberg, Anne H. Schistad. (2006).
Classification methods for oil spill detection by SAR imaging.
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Vitenskapelig foredrag
Solberg, Anne H. Schistad. (2006).
Data fusion for remote sensing applications, in Signal and Image Processing for Remote Sensing (ed. C. H. Chen).
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Fagbok
Storvik, Geir Olve; Fjørtoft, Roger Sverre og Solberg, Anne H S. (2005).
A Bayesian approach to classification of multi-scale remote sensing data.
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Several earth observation satellites acquire image bands with different spatial resolutions, e.g., a panchromatic band with high resolution and spectral bands with lower resolution. Likewise, we often face the problem of different resolutions when performing joint analysis of images acquired by different satellites. This work presents models and methods for classification of multiresolution images. The approach is based on the concept of a reference resolution, corresponding to the highest resolution in the dataset. Prior knowledge about the spatial characteristics of the classes is specified through a Markov random field model at the reference resolution. Data at coarser scales are modeled as mixed pixels by relating the observations to the classes at the reference resolution. A Bayesian framework for classification based on this multiscale model is proposed. The classification is realized by an iterative conditional modes (ICM) algorithm. The parameter estimation can be based both on a training set and on pixels with unknown class. A computationally efficient scheme based on a combination of the ICM and the expectation-maximization algorithm is proposed. Results obtained on simulated and real satellite images are presented.
Aurdal, Lars; Huseby, Ragnar Bang; Eikvil, Line; Solberg, Rune; Schuler, Dagrun Vikhamar og Solberg, Anne H Schistad. (2005).
Use of hidden Markov models and phenology for multitemporal satellite image classification: applications to mountain vegetation classification.
Huseby, Ragnar Bang; Aurdal, Lars; Eikvil, Line; Solberg, Rune; Schuler, Dagrun Vikhamar og Solberg, Anne H Schistad. (2005).
Alignment of growth seasons from satellite data.
Solberg, Anne H S; Brekke, Camilla; Solberg, Rune og Husøy, Per Ove. (2004).
Algorithms for oil spill detection in Radarsat and ENVISAT SAR images. IEEE
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Vitenskapelig foredrag
Solberg, Anne H S; Dokken, Sverre Thune og Solberg, Rune. (2003).
Automatic detection of oil spills in ENVISAT, Radarsat and ERS SAR images. IEEE
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poster
Storvik, Geir Olve; Fjørtoft, Roger Sverre og Solberg, Anne H S. (2003).
Parameter estimation and classification of multi-scale remote sensing data.
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Vitenskapelig foredrag
Solberg, Anne H S; Storvik, Geir Olve og Fjørtoft, Roger Sverre. (2002).
A Comparison of Criteria for Decision Fusion and Parameter Estimation in Statistical Multisensor Image Classification.
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Vitenskapelig foredrag
Storvik, Geir Olve; Fjørtoft, Roger og Solberg, Anne H S. (2002).
Integration of multisource image data at different resolutions and time points. A mathematical framework for EOtools.
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Rapport
Fjørtoft, Roger Sverre; Solberg, Anne H S og Storvik, Geir Olve. (2002).
A new approach to statistical multisensor image classification.
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Vitenskapelig foredrag
Amlien, Jostein og Solberg, Anne H. Schistad. (2001).
Methods for retrieval of forest parameters from satellite remote sensing.
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Rapport
Solberg, Anne H S; Storvik, Geir Olve; Solberg, Rune og Volden, Espen. (1999).
Automatic detection of oil spills in ERS SAR images.
Vis sammendrag
We present algorithms for the automatic detection of oil spills in SAR images. The developed framework consists of first detecting dark spots in the
image, then computing a set of features for each dark spot, before the spot is classified as either an oil slick or a ''lookalike'' (other oceanographic
phenomena which resemble oil slicks), The classification rule is constructed by combining statistical modeling with a rule-based approach. Prior
knowledge about the higher probability for the presence of oil slicks around ships and oil platforms is incorporated into the model, In addition, knowledge
about the external conditions like mind level and slick surroundings are taken into account. The presented algorithms are tested on 84 SAR images. The
algorithm can discriminate between oil slicks and lookalikes with high accuracy. 94% of the oil slicks and 99% of the lookalikes mere correctly classified.
Solberg, Anne H. Schistad. (1999).
Contextual data fusion applied to forest map revision.
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Vitenskapelig artikkel
Eikvil, Line; Holden, Marit og Solberg, Anne H. Schistad. (1999).
Seismic Attribute Analysis, Part IV.
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Rapport
Holden, Marit; Solberg, Anne H. Schistad og Solberg, Rune. (1998).
Wet snow-cover mapping by C- and L-band polarimetric SAR.
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Vitenskapelig artikkel
Holden, Marit; Solberg, Anne H. Schistad og Solberg, Rune. (1998).
Wet snow-cover mapping by C- and L-band polarimtric SAR.
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Vitenskapelig artikkel
Volden, Espen; Solberg, Anne H. Schistad og Huseby, Ragnar Bang. (1998).
Forest classification using spectrometer and SAR data.
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Vitenskapelig artikkel
Holden, Marit; Solberg, Anne H. Schistad og Solberg, Rune. (1998).
Snow mapping by multifrequency polarimetric SAR - An investigation of EMISAR data from the EMAC'95 snow campaign in Norway.
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Rapport
Solberg, Anne H. Schistad; Holden, Marit; Storvik, Geir; Teigland, André og Møller-Holst, Johan. (1998).
Seismic image analysis: 3D texture attributes and classification - part III.
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Rapport
Volden, Espen; Solberg, Anne H. Schistad; Huseby, Ragnar Bang og Solberg, Rune. (1998).
Forest mapping my airborne remote sensing techniques.
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Rapport
Solberg, Anne H S; Storvik, Geir Olve; Teigland, André; Møller-Holst, Johan; Berge, Anker M. og Abrahamsen, Petter. (1997).
Seismic image analysis: A pilot study for investigating the relevance of using image analysis techniques on seismic data.
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Rapport
Aas, Kjersti; Solberg, Anne H. Schistad; Koren, Hans og Solberg, Rune. (1997).
Semi-automatic revision of forest maps combining spectral, textural, laser altimeter and GIS data.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad og Jain, Anil K.. (1997).
Texture analysis of SAR images: a comparative study.
Solberg, Anne H. Schistad; Volden, Espen og Storvik, Geir. (1997).
Slick signature screening: Algorithm improvement.
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Rapport
Solberg, Anne H. Schistad og Volden, Espen. (1997).
Incorporation of prior knowledge in automatic classification of oil spills in ERS SAR images.
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Vitenskapelig artikkel
Holden, Marit; Solberg, Anne H. Schistad; Storvik, Geir; Teigland, André; Møller-Holst, Johan og Berge, Anker M.. (1997).
Seismic image analysis: 3D texture attributes and classification - part II.
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Rapport
Solberg, Anne H. Schistad; Taxt, Torfinn og Jain, Anil K.. (1996).
A Markov random field model for classification of multisource satellite imagery.
Aas, Kjersti; Solberg, Anne H. Schistad; Koren, Hans og Solberg, Rune. (1996).
Semi-automatic revision of forest maps combining spectral, textural, laser altimeter and GIS data.
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Vitenskapelig artikkel
Solberg, Rune; Solberg, Anne H. Schistad og Koren, Hans. (1996).
Forest classification - problem formulation and initial experiments.
Vis sammendrag
The focus of the research presented in this report is the challenge of computer-based forest classification of digitized infrared aerial photography. Interpretation of such demanding imagery has until now exclusively been performed manually. the current research is a first step in the direction of the goal of semi-automatic interpretation of forest imagery. The first objective of the work presented has been to identify and define the problems of forest mapping in an as concise may as possible and in terms of a remote sensing approach. The second objective has been to do initial data exploration and testes of standard image analysis methods. It has been determined that the geometrical distortions in an aerial photography will heavily influence the performance of automatic classification if the effects are not modelled and corrected. The discrimination experiments show that both texture and spectral features to some extent may be used to discriminate tree species and cutting classes. In data with low geometrical distortion, some GLCM textural features showed good discrimination ability. Based on the distribution of a set of ten derived spectral classes, we can discriminate properly between (i) spruce, cutting class 1; (ii) spruce and pine, cutting class 3; (iii) spruce, cutting classes 4-5; and (iv) deciduous forest.
Aas, Kjersti; Solberg, Anne H. Schistad; Koren, Hans og Solberg, Rune. (1996).
Semi-automatic revision of forest maps combining spectral, texture, laser altimeter and GIS data.
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Rapport
Solberg, Anne H. Schistad. (1996).
Multisource classification of remotely sensed imagery.
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Vitenskapelig artikkel
Solberg, Rune; Solberg, Anne H. Schistad; Koren, Hans og Aas, Kjersti. (1996).
The suitability of future high-resolution satellite imagery for forest inventory.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad og Solberg, Rune. (1996).
Algorithms for semi-automatic detection of oil spills in ERS SAR imagery.
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Rapport
Solberg, Anne H. Schistad. (1996).
Tolkning av satellittbilder (i \Verdt å vite\")".
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Programdeltagelse
Solberg, Anne H. Schistad. (1996).
Texture fusion and classification based on flexible discriminant analysis.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad og Solberg, Rune. (1996).
A large-scale evaluation of features for automatic detection of oil spills in ERS SAR images.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad og Jain, Anil K.. (1995).
A Study of the invariance properties of textural features in SAR images.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad. (1995).
Data fusion and texture in classification of synthetic aperture radar imagery.
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Rapport
Solberg, Anne H S; Bosnes, Vidar; Storvik, Geir Olve og Bosnes, Vidar. (1995).
Tissue classification in MR images based on a mixed pixel model.
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Vitenskapelig foredrag
Milvang, Otto; Solberg, Anne H. Schistad; Andersen, Tove; Huseby, Ragnar Bang og Bjerde, Katrine Weisteen. (1995).
Seabed classification from sonar data. Report for 1992-94.
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Rapport
Aas, Kjersti og Solberg, Anne H. Schistad. (1995).
Representative parameters from thin sections.
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Rapport
Storvik, Geir Olve; Bølviken, Erik og Solberg, Anne H S. (1994).
Hidden Markov Chains for recognition of structures in time series.
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Rapport
Bjerde, Katrine Weisteen; Huseby, Ragnar Bang; Milvang, Otto og Solberg, Anne H. Schistad. (1994).
Xseabed user manual.
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Rapport
Milvang, Otto; Bjerde, Katrine Weisteen; Huseby, Ragnar Bang og Solberg, Anne H. Schistad. (1994).
Seabed classification from sonar data. Report for 1993.
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Rapport
Solberg, Anne H. Schistad; Bosnes, Vidar og Storvik, Geir. (1994).
Tissue classification in MR images based on a mixed pixel model.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad; Jain, Anil K. og Taxt, Torfinn. (1994).
Multisource classification of remotely sensed data: fusion of Landsat TM and SAR images.
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Vitenskapelig artikkel
Milvang, Otto; Andersen, Tove og Solberg, Anne H. Schistad. (1994).
Seabed classification from sonar data. Report of first half of 1994.
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Rapport
Solberg, Anne H. Schistad og Taxt, Torfinn. (1994).
Classification of multisource satellite imagery based on a Markov random field model.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad. (1994).
A Markov random field model for classification of multisource satellite imagery.
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Rapport
Koren, Hans; Solberg, Anne H. Schistad; Halck, Ole Martin og Solberg, Rune. (1994).
Texture analysis of sandstone surfaces.
Vis sammendrag
This report is the contribution from the Norwegian Computing Center (NR) to the workshop Flat Image Texture Analysis, August 29, 1994, organized by SINTEF. The objective of the workshop was to study possible textural features that can be applied to discriminate between different sandstone facies. Due to limited resources, only relevant textural operator currently available at NR were tested. These are GLCM features, Simultaneous Autoregressive (SAR) models, Gabor filters, at set of six miscellaneous local texture operators. The available data set consisted of four samples only, so we have been cautious in drawing any final conclusions. The experiments in the different spectral bands and (2) some of the textural features. Of the four sandstone facies parameters grain size, porosity, and contents of quartz and feldspar, we found indications of relationships between gray levels and the textural features. A relatively high correlation was found between gray gray level and the textural features GLCM Correlation, SAR textural features, Contrast and Homogeneity. Other textural features seem to have some discriminative properties, but at least they cannot be used separately. Before work on further adaption or development of textural operators is initiated, we strongly recommend that these textural features are tested statistically in a data set consisting on a few hundred samples.
Huseby, Ragnar Bang; Milvang, Otto; Solberg, Anne H. Schistad; Weisteen, Katrine; Madsen, Rune Asgeir; Kavli, Tom og Carlin, Mats. (1993).
Seafloor Classification. Report for 2. half of 1992.
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Rapport
Huseby, Ragnar Bang; Milvang, Otto; Solberg, Anne H. Schistad og Weisteen, Katrine. (1993).
Seabed Classification from backscatter sonar data.
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Populærvitenskapelig artikkel
Milvang, Otto; Huseby, Ragnar Bang; Weisteen, Katrine og Solberg, Anne H. Schistad. (1993).
Feature extraction from backscatter sonar data.
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Vitenskapelig artikkel
Huseby, Ragnar Bang; Milvang, Otto; Solberg, Anne H. Schistad og Weisteen, Katrine. (1993).
Seabed Classification from backscatter sonar data using statistical methods.
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Vitenskapelig artikkel
Solberg, Anne H. Schistad; Jain, Anil K. og Taxt, Torfinn. (1993).
Fusion of multitemporal satellite images and GIS data for land-use classification.
Solberg, Anne H. Schistad og Taxt, Torfinn. (1993).
Datafusjon i klassifikasjon av satellittbilder.
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Vitenskapelig artikkel
Bosnes, Vidar; Solberg, Anne H S; Storvik, Geir Olve og Bosnes, Vidar. (1993).
Classification of mixed pixels.
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Rapport
Weisteen, Katrine; Solberg, Anne H. Schistad og Solberg, Rune. (1993).
Oil spill detection in SAR imagery - summary report.
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Rapport
Weisteen, Katrine; Solberg, Anne H. Schistad og Solberg, Rune. (1993).
Detection of oil spill in SAR images using a statistical classification scheme.
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Vitenskapelig artikkel
Huseby, Ragnar Bang; Milvang, Otto; Solberg, Anne H. Schistad og Bjerde, Katrine Weisteen. (1993).
Seabed classification from multibeam echosunder data using statistical methods.
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Vitenskapelig artikkel
Holbæk-Hanssen, Erik og Solberg, Anne H. Schistad. (1989).
Delvis styrt klassifikasjon av SAR-bilder over hav-is.
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Rapport