Pseudoinvariant Feature Selection Using Multitemporal MAD for Optical Satellite Images
IEEE Geoscience and Remote Sensing Letters(2019)
摘要
Pseudoinvariant features (PIFs) are ground objects with invariant or near-invariant reflectance during data acquisition. The extraction of PIFs from optical satellite images generally plays a crucial role in relative radiometric normalization (RRN) and landcover change detection. Previous studies extract PIFs from bitemporal images while can generally obtain satisfactory results. However, they do ...
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关键词
Principal component analysis,Correlation,Feature extraction,Coherence,Reactive power,Optimization,Optical imaging
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