Ingebjørg Kåsen

425 total citations
19 papers, 357 citations indexed

About

Ingebjørg Kåsen is a scholar working on Media Technology, Aerospace Engineering and Ecology. According to data from OpenAlex, Ingebjørg Kåsen has authored 19 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Media Technology, 9 papers in Aerospace Engineering and 4 papers in Ecology. Recurrent topics in Ingebjørg Kåsen's work include Remote-Sensing Image Classification (14 papers), Infrared Target Detection Methodologies (9 papers) and Remote Sensing in Agriculture (4 papers). Ingebjørg Kåsen is often cited by papers focused on Remote-Sensing Image Classification (14 papers), Infrared Target Detection Methodologies (9 papers) and Remote Sensing in Agriculture (4 papers). Ingebjørg Kåsen collaborates with scholars based in Norway, France and Belgium. Ingebjørg Kåsen's co-authors include T. Skauli, Yuliya Tarabalka, Christiaan Perneel, Dirk Borghys, Véronique Achard, Xavier Briottet, Marco Diani, H. H. P. Th. Bekman, Pål Erik Goa and Yann G. Boucher and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Sensors Journal and Applied Optics.

In The Last Decade

Ingebjørg Kåsen

19 papers receiving 343 citations

Peers

Countries citing papers authored by Ingebjørg Kåsen

Since Specialization

Citations

This map shows the geographic impact of Ingebjørg Kåsen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ingebjørg Kåsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingebjørg Kåsen more than expected).

Fields of papers citing papers by Ingebjørg Kåsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingebjørg Kåsen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ingebjørg Kåsen. The network helps show where Ingebjørg Kåsen may publish in the future.

Co-authorship network of co-authors of Ingebjørg Kåsen

This figure shows the co-authorship network connecting the top 25 collaborators of Ingebjørg Kåsen. A scholar is included among the top collaborators of Ingebjørg Kåsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ingebjørg Kåsen. Ingebjørg Kåsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Compact camera for multispectral and conventional imaging based on patterned filters 2014 ·Applied Optics ·T. Skauli, (unknown), Stéphane Nicolas, (unknown), (unknown), Ingebjørg Kåsen, (unknown)	22
2	Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification 2014 ·IEEE Transactions on Image Processing ·Erik Ringaby, Ola Friman, Per-Erik Forssén, (unknown), (unknown), Ingebjørg Kåsen	10
3	Hyperspectral reconnaissance in urban environment 2013 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ingmar Renhorn, Véronique Achard, (unknown), (unknown), Dirk Borghys, Xavier Briottet, Rob J. Dekker, (unknown), Ola Friman, Ingebjørg Kåsen, Stefania Matteoli, (unknown), (unknown), (unknown), (unknown), (unknown), Piet B. W. Schwering, Michal Shimoni, (unknown), Françoise Viallefont	5
4	Comparative evaluation of hyperspectral anomaly detectors in different types of background 2012 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Dirk Borghys, Ingebjørg Kåsen, Véronique Achard, Christiaan Perneel	62
5	Improving anomaly detection with Multinormal Mixture Models in shadow 2012 ·(unknown), (unknown), Ingebjørg Kåsen, T. Skauli	3
6	Detection in urban scenario using combined airborne imaging sensors 2012 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ingmar Renhorn, (unknown), (unknown), (unknown), (unknown), Xavier Briottet, (unknown), Rob J. Dekker, (unknown), (unknown), Ola Friman, Ingebjørg Kåsen, (unknown), (unknown), (unknown), Piet B. W. Schwering, Michal Shimoni, (unknown)	5
7	Hyperspectral Anomaly Detection: Comparative Evaluation in Scenes with Diverse Complexity 2012 ·Journal of Electrical and Computer Engineering ·Dirk Borghys, Ingebjørg Kåsen, Véronique Achard, Christiaan Perneel	20
8	Hyperspectral Imaging Technology and Systems, Exemplified by Airborne Real-time Target Detection 2011 ·T. Skauli, (unknown), Ingebjørg Kåsen, (unknown), (unknown), (unknown)	4
9	An airborne real-time hyperspectral target detection system 2010 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·T. Skauli, (unknown), Ingebjørg Kåsen, Gunnar Arisholm, (unknown), (unknown), (unknown)	14
10	Required Spectral Resolution for Bioaerosol Detection Algorithms Using Standoff Laser-Induced Fluorescence Measurements 2010 ·IEEE Sensors Journal ·(unknown), Gunnar Rustad, Ingebjørg Kåsen, (unknown)	16
11	Parallel Processing for Normal Mixture Models of Hyperspectral Data Using a Graphics Processor 2008 ·Yuliya Tarabalka, (unknown), Ingebjørg Kåsen, T. Skauli	1
12	Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing 2008 ·Journal of Real-Time Image Processing ·Yuliya Tarabalka, (unknown), Ingebjørg Kåsen, T. Skauli	82
13	Band selection for hyperspectral target detection based on a multinormal mixture anomaly detection algorithm 2008 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ingebjørg Kåsen, (unknown), (unknown), T. Skauli	9
14	A physics-based statistical signature model for hyperspectral target detection 2007 ·(unknown), T. Skauli, Ingebjørg Kåsen	8
15	<title>Effect of light level and photon noise on hyperspectral target detection performance</title> 2007 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·T. Skauli, (unknown), Ingebjørg Kåsen	1
16	Military applications of hyperspectral imagery 2006 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Xavier Briottet, Yann G. Boucher, (unknown), (unknown), (unknown), Marco Diani, H. H. P. Th. Bekman, Paul Schwering, T. Skauli, Ingebjørg Kåsen, I. Renhorn, (unknown), (unknown), (unknown)	75
17	The effect of spatial resolution on hyperspectral target detection performance 2005 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·T. Skauli, Ingebjørg Kåsen	4
18	Physical subspace models for invariant material identification: subspace composition and detection performance 2004 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Pål Erik Goa, T. Skauli, Ingebjørg Kåsen, (unknown), (unknown)	3
19	Target detection in hyperspectral images based on multicomponent statistical models for representation of background clutter 2004 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ingebjørg Kåsen, Pål Erik Goa, T. Skauli	13

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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