Abstract :
The following topics are dealt with: multitemporal remote sensing data classification; kernel discriminative random fields for land cover classification; neural network-based spectral unmixing training strategies; self-organizing maps;3D Object-based Classification for Vehicle Extraction from Airborne LiDAR Data by Combining Point Shape Information with Spatial Edge; Simultaneous Feature and HMM Model Learning for Landmine Detection using Ground Penetrating Radar; Building Detection in Satellite Images by Textural Features and Adaboost; Perceptual Grouping for Building Recognition from Satellite SAR Image Stacks.
Keywords :
geophysical signal processing; image recognition; image texture; object recognition; optical radar; remote sensing by laser beam; remote sensing by radar; self-organising feature maps; terrain mapping; 3D object-based classification; Adaboost; HMM model learning; IAPR workshop; PRRS 2010); SAR image stack; airborne LiDAR data; building recognition; ground penetrating radar; kernel discriminative random field; land cover classification; landmine detection; multitemporal remote sensing data classification; neural network; pattern recognition; perceptual grouping; point shape information; satellite image; self-organizing map; spatial edge; spectral unmixing training strategy; textural feature; vehicle extraction;
Conference_Titel :
Pattern Recognition in Remote Sensing (PRRS), 2010 IAPR Workshop on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7258-1
DOI :
10.1109/PRRS.2010.5742796
