Salīdzināt metodes

	Izmaiņu noteikšana	Uz objektu balstīta attēlu analīze (OBIA)
Nozare	Tālizpēte	Tālizpēte
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1989	2010
Autors	Ashbindu Singh	Thomas Blaschke
Tips	Multitemporal image comparison pipeline	Image segmentation and classification pipeline
Pirmavots	Singh, A. (1989). Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6), 989–1003.	Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16.
Citi nosaukumi	Multitemporal Image Analysis, Land-Cover Change Analysis, Bitemporal Change Analysis, Değişim Tespiti	Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi
Saistītās	2	3
Kopsavilkums	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.	Object-Based Image Analysis (OBIA) is a remote sensing image processing paradigm that groups pixels into meaningful image objects before classification, rather than analysing each pixel independently. Formally articulated and consolidated by Thomas Blaschke in his landmark 2010 ISPRS review, OBIA draws on multiresolution segmentation algorithms and combines spectral, spatial, contextual, and textural object attributes to produce semantically rich land-cover maps from high-resolution imagery.