A physics-based statistical signature model for hyperspectral target detection. - Trym Vegard Haavardsholm; Torbjørn Skauli; Ingebjørg Kåsen (IGARSS, 2007)

Parallel Processing for Normal Mixture Models of Hyperspectral Data Using a Graphics Processor. - Yuliya Tarabalka; Trym Vegard Haavardsholm; Ingebjørg Kåsen; Torbjørn Skauli (IGARSS (2), 2008)

Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing. - Yuliya Tarabalka; Trym Vegard Haavardsholm; Ingebjørg Kåsen; Torbjørn Skauli (J. Real Time Image Process., 2009)

Evaluation of the sub-pixel performance of anomaly detectors. - Dirk Borghys; Christiaan Perneel; Véronique Achard; Ingebjørg Kåsen (WHISPERS, 2011)

Improving anomaly detection with Multinormal Mixture Models in shadow. - Trym Vegard Haavardsholm; Amela Kavara; Ingebjørg Kåsen; Torbjørn Skauli (IGARSS, 2012)

Hyperspectral Anomaly Detection: Comparative Evaluation in Scenes with Diverse Complexity. - Dirk Borghys; Ingebjørg Kåsen; Véronique Achard; Christiaan Perneel (J. Electr. Comput. Eng., 2012)

Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification. - Erik Ringaby; Ola Friman; Per-Erik Forssén; Thomas-Olsvik Opsahl; Trym Vegard Haavardsholm; Ingebjørg Kåsen (IEEE Trans. Image Process., 2014)

Sample weighting as an explanation for mode collapse in generative adversarial networks. - Aksel Wilhelm Wold Eide; Eilif Solberg; Ingebjørg Kåsen (CoRR, 2020)