Title :
Scene scattering descriptor for urban classification in very high resolution SAR images
Author :
Yongke Ding ; Lizhong Qiu ; Pinglv Yang ; Zeming Zhou ; Yuanxiang Li ; Wenxian Yu
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
A novel urban land-use/land-cover classification framework for very high resolution SAR images which combines scene description and scene-based mapping is presented in this paper. We use textural features for scene region description, including the traditional GLCM feature and the new scene scattering descriptor. The scene scattering descriptor is proposed in this paper to model the scattering behavior and context appearance of urban scenes. This work intends to implement an efficient description of urban land covers from the urban backscattering behavior perspective and apply it to scene-based mapping of urban areas. The framework demonstrates good performance in both accuracy and efficiency for urban scene interpretation of very high resolution SAR images.
Keywords :
feature extraction; geophysical image processing; geophysical techniques; image classification; land cover; land use; radar imaging; remote sensing by radar; synthetic aperture radar; SAR images; scene region description; scene scattering descriptor; scene-based mapping; textural features; traditional GLCM feature; urban backscattering behavior; urban classification; urban land-cover classification framework; urban land-use classification framework; urban scenes; Backscatter; Feature extraction; Image resolution; Scattering; Support vector machines; Synthetic aperture radar; Urban areas; SAR; backscattering pattern; landuse/land-cover (LULC); scene-based mapping; urban classification;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723205