Methoden vergleichen

	SAR-Bildanalyse	Objektbasierte Bildanalyse (OBIA)
Fachgebiet	Fernerkundung	Fernerkundung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	2009	2010
Urheber	Jong-Sen Lee & Eric Pottier	Thomas Blaschke
Typ	Active microwave image processing pipeline	Image segmentation and classification pipeline
Wegweisende Quelle	Lee, J.-S., & Pottier, E. (2009). Polarimetric Radar Imaging: From Basics to Applications. CRC Press. ISBN: 978-1-4200-5497-2	Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16.
Aliasnamen	Synthetic Aperture Radar Processing, Radar Remote Sensing Analysis, Microwave Imaging Analysis, SAR Görüntü Analizi	Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi
Verwandt	3	3
Zusammenfassung	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.	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.