Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images Based on a Gaussian Mixture Model and Error Ellipse

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 11; no. 11; pp. 4526 - 4533
• Main Authors: Ghanbari, Hamid, Homayouni, Saeid, Ghamisi, Pedram, Safari, Abdolreza
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Atmospheric modeling; Change detection; Detection; Earth; Earth observations (from space); Earthquakes; Environmental changes; Environmental conditions; Error detection; error ellipse; Gaussian mixture model; Image acquisition; Image detection; Invariants; Land cover; Mathematical model; Methods; multitemporal images; natural hazards; Pixels; Probabilistic models; radiometric normalization; Radiometry; Remote sensing; Satellite broadcasting; Satellite imagery; Satellite observation; Satellites; Seismic activity; Time series

Relative radiometric normalization is often required in time series analysis of satellite Earth observations such as land cover change detection. Normalization process reduces the radiometric differences caused by changes in the environmental conditions during the acquisition of multitemporal satell...