Сравнение методов

	Анализ изображений с синтезированной апертурой радара	Обнаружение изменений
Область	Дистанционное зондирование	Дистанционное зондирование
Семейство	Process / pipeline	Process / pipeline
Год появления	2009	1989
Автор метода	Jong-Sen Lee & Eric Pottier	Ashbindu Singh
Тип	Active microwave image processing pipeline	Multitemporal image comparison pipeline
Основополагающий источник	Lee, J.-S., & Pottier, E. (2009). Polarimetric Radar Imaging: From Basics to Applications. CRC Press. ISBN: 978-1-4200-5497-2	Singh, A. (1989). Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6), 989–1003.
Другие названия	Synthetic Aperture Radar Processing, Radar Remote Sensing Analysis, Microwave Imaging Analysis, SAR Görüntü Analizi	Multitemporal Image Analysis, Land-Cover Change Analysis, Bitemporal Change Analysis, Değişim Tespiti
Связанные	3	2
Сводка	Synthetic Aperture Radar (SAR) Image Analysis is an active microwave remote sensing pipeline that processes complex-valued radar backscatter data to characterize land cover, surface roughness, moisture, and structural properties. Foundational treatment was consolidated by Jong-Sen Lee and Eric Pottier in their 2009 CRC Press volume, which established the polarimetric framework widely adopted by research and operational communities working with satellites such as Sentinel-1, ALOS PALSAR, and RADARSAT.	Change detection is a remote sensing analysis pipeline that identifies differences in land cover or land use between two or more images acquired at different times over the same geographic area. Systematically reviewed and classified by Ashbindu Singh in 1989, the framework encompasses image differencing, post-classification comparison, vegetation index differencing, and principal component analysis, and remains the canonical reference for evaluating which technique best suits a given application.