NDLI: The Contribution of SIASGE Radar Data Integrated With Optical Images to Support Thematic Mapping at Regional Scale

Content Provider	IEEE Xplore Digital Library
Author	Pierdicca, N. Chini, M. Pelliccia, F.
Copyright Year	2008
Abstract	This paper aims to assess the potential of radar data combined with optical data to support local administrations in the knowledge of the land use and land cover at regional scale. The work starts from the actual available thematic maps owned by two different regional administrations in Italy to assess at what extent they can be improved or reproduced by Earth Observation data. In particular, the contribution of data available in the future through the Sistema Italo-Argentino di Satelliti per la Gestione delle Emergenze (SIASGE) project, combining L-band and X-band radar imagery, is assessed in order to produce thematic maps of the regions. Moreover, the further contribution brought by C-band and especially by optical bands has been evaluated. The classification problem is driven by the legend of already existing maps and quality checked against the same maps in order to tackle the real needs of the land managing authorities. As the combination of data from optical imagery is fundamental to achieve good thematic accuracy, the work has exploited the support vector machine (SVM) learning technique, which is more suitable than standard statistical parametric approaches in this respect. Concerning the classification steps, some algorithmic issues have been faced to improve the results, such as training set selection strategy and data fusion techniques. The work has proved that the multisource dataset (radar and optical) is fairly suitable to produce thematic maps comparable to what is already in use at local administrative level, allowing one to achieve classification accuracy in the order of 90%.
Starting Page	2821
Ending Page	2833
Page Count	13
File Size	2726098
File Format	PDF
ISSN	19391404
Volume Number	7
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laser radar Optical imaging Radar imaging Optical sensors Synthetic aperture radar Adaptive optics thematic mapping Classification data fusion support vector machine (SVM) synthetic aperture radar (SAR)
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Computers in Earth Sciences

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
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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
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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