DocumentCode
23025
Title
Automatic Recognition of Isolated Buildings on Single-Aspect SAR Image Using Range Detector
Author
Shanshan Chen ; Haipeng Wang ; Feng Xu ; Ya-Qiu Jin
Author_Institution
Key Lab. for Inf. Sci. of Electromagn. Waves (MoE), Fudan Univ., Shanghai, China
Volume
12
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
219
Lastpage
223
Abstract
Man-made building objects mostly with vertical wall structures may present distinct scattering patterns, e.g., wall/roof upfront scattering, wall-ground double scattering, etc., along the range dimension in high-resolution synthetic aperture radar (SAR) images. In this letter, a 1-D detector, referred to as the “range detector,” is presented for building detection, which operates only along the range direction. Experiments show that this range detector can effectively detect and extract the footprint of the illuminated wall of a cuboid building, with which the outline of the building image can be captured by marching the footprint toward radar. This approach is applied to an airborne Pi-SAR image of Sendai, Japan, and more than 80% of the buildings can be identified. The building height and length are also estimated, and the errors are found around 4-5 m based on optical image.
Keywords
geophysical image processing; image recognition; radar imaging; remote sensing by radar; synthetic aperture radar; Japan; Sendai; airborne Pi-SAR image; building image outline; cuboid building; high-resolution SAR images; illuminated wall; isolated building automatic recognition; man-made building objects; optical image; range detector; scattering patterns; single-aspect SAR image; synthetic aperture radar; vertical wall structures; wall-ground double scattering; Buildings; Detectors; Image recognition; Optical imaging; Radar imaging; Scattering; Synthetic aperture radar; Automatic target recognition (ATR); building objects; range detector; synthetic aperture radar (SAR) image;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2014.2327125
Filename
6876126
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