NDLI: Supervised fusion approach of local features extracted from SAR images for detecting deforestation changes

Content Provider	IET Digital Library
Author	Horch, Abdelkader Djemal, Khalifa Gafour, Abdelkader Taleb, Nasreddine
Abstract	Deforestation has become a major problem consisting of a continuous regression of forested areas in the world, and for this purpose, an efficient detection of these changes has become more than necessary. In this work, a new method for deforestation change detection is proposed. This approach is based on a supervised fusion of local texture features extracted from SAR images. ALOS PALSAR (Advanced Land Observation Satellite Phased Array type L-band Synthetic Aperture Radar) multi-temporal data have been used in this work. Normalised radar cross-section (NRCS) and polarimetric features extracted from HH and HV polarised data allowed recognising different categories of land covers termed as NRCS classification. Grey-level co-occurrence matrix (GLCM) texture features were extracted by using a different moving window sizes applied on local regions previously obtained by binarisation of the NRCS results. A total of 300 samples of regions and five GLCM characteristics have been used here. The detection of deforestation appears clearly in the resulted images with a very satisfactory precision of the reached regions, and the obtained results of the proposed supervised approach have indeed led to very good detection results of the deforestation change.
Starting Page	2866
Ending Page	2876
Page Count	11
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 14, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0122
Journal	IET Image Processing
Publisher Date	2019-09-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Advanced Land Observation Satellite ALOS PALSAR Array Type L-band Synthetic Aperture Radar Computer Vision And Image Processing Technique Continuous Regression Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Deforestation Change Detection Different Moving Window Earth Sciences Feature Extraction Forested Areas Geophysical Image Processing Geophysical Technique And Equipment Good Detection Result Grey-level Co-occurrence Matrix Texture Feature Image Classification Image Texture Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Local Feature Local Region Local Texture Feature Multitemporal Data NRCS Classification NRCS Result Optical, Image And Video Signal Processing Polarimetric Feature Radar Cross Section Radar Equipment Radar Imaging Radar Polarimetry Remote Sensing by Radar Resulted Image SAR Image Solid Earth Physics Statistics Supervised Approach Supervised Fusion Approach Synthetic Aperture Radar System And Application
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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

Feature clustering based discrimination of ship targets for SAR images

Regional tropical deforestation detection using ALOS PALSAR 50 m mosaics in Riau province, Indonesia

Effective supervised multiple-feature learning for fused radar and optical data classification

Modified real-time sub-aperture processing algorithm for airborne high-resolution SAR

Object-based method for optical and SAR images change detection

Structure tensor-based SIFT algorithm for SAR image registration

Imaging algorithm for multi-channel scan synthetic aperture radar with channel error estimation and compensation

Local low-rank approach for parameter extraction of ocean internal wave from SAR image

Adaptive scale segmentation algorithm for polarimetric SAR image

Supervised fusion approach of local features extracted from SAR images for detecting deforestation changes

Similar Documents

Feature clustering based discrimination of ship targets for SAR images

Regional tropical deforestation detection using ALOS PALSAR 50 m mosaics in Riau province, Indonesia

Effective supervised multiple-feature learning for fused radar and optical data classification

Modified real-time sub-aperture processing algorithm for airborne high-resolution SAR

Object-based method for optical and SAR images change detection

Structure tensor-based SIFT algorithm for SAR image registration

Imaging algorithm for multi-channel scan synthetic aperture radar with channel error estimation and compensation

Local low-rank approach for parameter extraction of ocean internal wave from SAR image

Adaptive scale segmentation algorithm for polarimetric SAR image

Supervised fusion approach of local features extracted from SAR images for detecting deforestation changes