Novel Techniques for Built-Up Area Extraction From Polarimetric SAR Images
نویسندگان
چکیده
منابع مشابه
Analysis of Built-Up Areas from Polarimetric Interferometric SAR Images
This paper describes the analysis of built-up areas using fully polarimetric interferometric SAR data at L-band. This approach uses a polarimetric interferometric segmentation to determine the number of dominant scattering mechanisms required by an interferometric phase estimation using ESPRIT method.
متن کاملSeparation of Built-up Areas Using Polarization Orientation from Polarimetric Sar Images
Polarimetric decomposition and classification are important applications for polarimetric synthetic aperture radar (POLSAR) images. Among many methods developed so far, entropy-anisotropy-alpha classification [1] and three component decomposition [2] are most popular. In an urban area analysis, it is found that the polarimetric analysis has a problem to identify built-up areas. With the three c...
متن کاملBuilt-up Area Extraction from PolSAR Imagery with Model-Based Decomposition and Polarimetric Coherence
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...
متن کاملExtracting Built-up Areas from Multitemporal Interferometric Sar Images
Automatic extraction of built-up areas from a multitemporal interferometric ERS-1/2 Tandem SAR dataset was studied. The image data were segmented into homogeneous regions and the regions were classified using their mean intensity and coherence values and additional contextual information. According to comparison with a set of reference points, an overall classification accuracy of 97% was achie...
متن کاملAssessment of Polarimetric and Spatial Features for Built-up Mapping using ALOS PALSAR Polarimetric SAR Data
Fully polarimetric synthetic aperture radar (PolSAR) has the advantage for working at all time and all weather compared with optical remote sensing. It can provide four channel data, including HH, HV, VH, and VV, which is usually called sinclair matrix. The sinclair matrix can be used to describe the relative pure targets. Concerning to the distributed targets, it is necessary to use coherence ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Geoscience and Remote Sensing Letters
سال: 2020
ISSN: 1545-598X,1558-0571
DOI: 10.1109/lgrs.2019.2914913