Compară metode

	Analiza norilor de puncte LiDAR	Analiza Imaginilor Bazată pe Obiecte (OBIA)
Domeniu	Teledetecție	Teledetecție
Familie	Process / pipeline	Process / pipeline
Anul apariției	2002	2010
Autorul original	Lefsky et al.	Thomas Blaschke
Tip	Active remote sensing pipeline	Image segmentation and classification pipeline
Sursa seminală	Lefsky, M. A., Cohen, W. B., Parker, G. G., & Harding, D. J. (2002). Lidar remote sensing for ecosystem studies. BioScience, 52(1), 19–30.	Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16.
Denumiri alternative	Light Detection and Ranging, Airborne Laser Scanning, Terrestrial Laser Scanning, LiDAR Nokta Bulutu Analizi	Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi
Înrudite	1	3
Rezumat	LiDAR (Light Detection and Ranging) Point-Cloud Analysis is an active remote sensing technique that measures distances by emitting laser pulses and recording the time for returns to reach the sensor. First systematically applied to ecosystem science by Lefsky, Cohen, Parker, and Harding in 2002, LiDAR produces dense three-dimensional point clouds that encode the precise vertical and horizontal structure of vegetation, terrain, and built environments at resolutions unachievable by passive optical sensors.	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.