NDLI: A GS-based built-up area detection method using Polarimetric SAR images

Content Provider	IEEE Xplore Digital Library
Author	Lamei Zhang Da Lu Wenyan Tang
Copyright Year	2012
Description	Author affiliation: Dept. of Information Engineering, Harbin Institute of Technology, 150001, China (Lamei Zhang; Da Lu) \|\| Post-doctoral Research Center in Instrument Science and Technology, Harbin Institute of Technology, China (Wenyan Tang)
Abstract	Feature extraction and target detection using Polarimetric SAR image is of great interest in SAR applications. The current detection methods, such as Polarimetric Target Decomposition (PTD), Polarimetric Similarity Parameter (PSP) and Polarimetric Whitening Filter (PWF) can be used for target detection at different aspects. In order to combine their merits at the same time, a target detection method based on Granularity Synthesis (GS) theory is proposed in this paper, in which the detection results using PTD, PSP and PWF are combined using granularity synthesis algorithm based on quotient space theory and construct a fine and comprehensive detection result. The proposed target detection method is demonstrated with Danish EMISAR L-band full polarized image of the Foulum agricultural test site in Jutland, Denmark. The results confirmed that the proposed model is accurate and effective for detection and analysis of buildings in urban areas.
Starting Page	5911
Ending Page	5914
File Size	293096
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6352263
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scattering Object detection Buildings Synthetic aperture radar Matrix decomposition Feature extraction L-band Quotient Space Polarimetric SAR Target Detection Granularity Synthesis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Urban areas detection using polarimetric SAR images

Estimation of Built-up Area Characteristics from Polarimetric Interferometric Multiple Track L-Band SAR Data

Urban-Area Extraction From Polarimetric SAR Images Using Polarization Orientation Angle

Automatic Detection of Power Transmission Series in Full Polarimetric SAR Imagery

Target detection based on granularity computing of quotient space theory using SAR image

Multi-look polarimetric SAR target detection: performance analysis and frequency selection

Urban Area Detection for Polarimetric Synthetic Aperture Radar Image

Targets detection and analysis in coastal area using Polarimetric SAR images

Multiple-Component Scattering Model for Polarimetric SAR Image Decomposition

A GS-based built-up area detection method using Polarimetric SAR images

Similar Documents

Urban areas detection using polarimetric SAR images

Estimation of Built-up Area Characteristics from Polarimetric Interferometric Multiple Track L-Band SAR Data

Urban-Area Extraction From Polarimetric SAR Images Using Polarization Orientation Angle

Automatic Detection of Power Transmission Series in Full Polarimetric SAR Imagery

Target detection based on granularity computing of quotient space theory using SAR image

Multi-look polarimetric SAR target detection: performance analysis and frequency selection

Urban Area Detection for Polarimetric Synthetic Aperture Radar Image

Targets detection and analysis in coastal area using Polarimetric SAR images

Multiple-Component Scattering Model for Polarimetric SAR Image Decomposition

A GS-based built-up area detection method using Polarimetric SAR images