Abstract
Abstract. In this paper, we present a method to extract urban areas from X-band fully polarimetric synthetic aperture radar (SAR) data. It is known that very high resolution (VHR) SAR can extract buildings, but it requires more processes to map urban areas that should include other objects. The proposed method is mainly composed of two classifications. One classification uses total power of scattering and volume scattering derived by using four component decomposition method with correction of the polarization orientation angle (POA) effect. The other classification uses polarimetric coherency between SHH and SVV . The two results are intersected and final urban areas are extracted after post-classification processing. We applied the proposed method to airborne X-band fully polarimetric SAR data of Polarimetric and Interferometric Airborne Synthetic Aperture Radar System (Pi-SAR2), developed by the National Institute of Information and Communications Technology (NICT), Japan. The validation show that the results of the proposed method were acceptable, with an overall accuracy of approximately 80 to 90% at 100-m spatial scale.
Highlights
Human settlement extent data play an important role in discussing urban development and natural resources preservation
(b) as preprocessing, multilook processing is implemented and four components are generated with correction of the polarization orientation angle (POA) effect
The format of polarimetric SAR (PolSAR) data consists of a complex scattering matrix expressed by Equation (1): (
Summary
Human settlement extent data play an important role in discussing urban development and natural resources preservation. We have already reported a method to extract urban areas by using Advanced Land Observing Satellite (ALOS) / Phased Array type L-band Synthetic Aperture Rader (PALSAR) imagery (Kajimoto and Susaki, 2013a) and another method to estimate urban densities by using a single fully porlarimetric image (Kajimoto and Susaki, 2013b; Susaki et al, 2014). These supervised methods assume to use L-band fully polarimetric SAR (PolSAR) images, but it is not guaranteed that they perform against X-band PolSAR images.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
