Title :
Radiometric normalization of multitemporal hyperspectral satellite images
Author :
Yanli Sun ; Xia Zhang ; Tong Shuai ; Zhi Zhuang
Author_Institution :
Inst. of Remote Sensing & Digital Earth, Beijing, China
Abstract :
The essay applied Multivariate alteration detection (MAD) transformation and orthogonal regression analysis for radiometric normalization of multitemporal hyperspectral satellite imagery. The evaluation results of RMSE show that the MAD-based normalization in all eighteen bands of CHRIS image is feasible and effective. And the evaluation results of DI show that the MAD-based normalization performs better in keeping the spectral-dimensional information of hyperspectral images than IR normalization.
Keywords :
geophysical image processing; hyperspectral imaging; land cover; radiometry; regression analysis; terrain mapping; CHRIS image; IR normalization; MAD-based normalization; land cover changes; multitemporal hyperspectral satellite imagery; multivariate alteration detection transformation; orthogonal regression analysis; radiometric normalization; spectral-dimensional information; Hyperspectral imaging; Radiometry; Regression analysis; Satellite broadcasting; Satellites; MAD; orthogonal regression; radiometric normalization;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947415
