STATISTICAL MID-LEVEL FEATURES FOR BUILDING-UP AREA EXTRACTION FROM FULL POLARIMETRIC SAR IMAGERY
نویسندگان
چکیده
منابع مشابه
Fusion of polarimetric and texture information for urban building extraction from fully polarimetric SAR imagery
Building extraction from remote sensing images is very important in many fields, such as urban planning, land use investigation, damage assessment, and so on. In polarimetric synthetic aperture radar (PolSAR) imagery, the buildings not only have typical polarimetric features but also have rich texture features. In this paper, the texture information is introduced to improve the accuracy of urba...
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Automatic extraction of linear topographic objects, such as, roads, rivers, or power lines, is an important topic for topographic mapping. In case of roads, an automatic extraction from Synthetic Aperture Radar (SAR) imagery is rather difficult, due to the speckle effect and the limited spatial resolution in relation to the road width. In this paper we investigate the additional use of multifre...
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Many researches have been done to extract buildings from high resolution Synthetic Aperture Radar (SAR) data. The extraction problem is far from solved due to many constraints, e.g. SAR side-look imaging, speckle, and lack of object extent in SAR images. Building detection algorithms usually use intensity information or textures. Layovers and shadows can be discriminated from other objects sinc...
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Built-up area extraction from polarimetric SAR (PolSAR) imagery has a close relationship with urban planning, disaster management, etc. Since the buildings have complex geometries and may be misclassified as forests due to the significant cross-polarized scattering, built-up area extraction from PolSAR data is still a challenging problem. This paper proposes a new urban extraction method for Po...
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ژورنال
عنوان ژورنال: Progress In Electromagnetics Research
سال: 2012
ISSN: 1559-8985
DOI: 10.2528/pier12061009