NDLI: Land-use mapping using coarse resolution SAR data at the object level exploiting ancillary optical data

Content Provider	IEEE Xplore Digital Library
Author	Gamba, P. Aldrighi, M.
Copyright Year	2011
Description	Author affiliation: Department of Electronics, University of Pavia, Via A. Ferrata, 1 27100, Italy (Gamba, P.; Aldrighi, M.)
Abstract	The work presented in this paper is devoted to the analysis of SAR images in order to produce at first a human settlements map, followed by a refined classification of the same dataset in order to extract a Land Use Land Cover (LU/LC) map based on CORINE nomenclature. The urban extents are computed using an approach based on Local Indicators of Spatial Association and textural features while the LU/LC map is obtained using a segmentation technique in order to exploit the statical behaviours of areas belonging to the same class. In particular, in this paper the joint use of SAR (for classification) and optical images (for segmentation) on the same area is investigated, together with the comparison of three different segmentation techniques based on different algorithms and approaches. Conducted tests on the area of Shanghai demonstrated that the use of even dated optical images for the segmentation phase increases the accuracy and reveals the potential of the entire processing chain for urban areas monitoring.
Starting Page	1263
Ending Page	1266
File Size	424538
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Optical imaging Optical sensors Urban areas Adaptive optics Accuracy Spatial resolution land cover SAR ASAR segmentation land use
Content Type	Text
Resource Type	Article

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