NDLI: A new maximum-likelihood joint segmentation technique for multitemporal SAR and multiband optical images

Content Provider	IEEE Xplore Digital Library
Author	Lombardo, P. Oliver, C.J. Macri Pellizzeri, T. Meloni, M.
Copyright Year	1980
Abstract	In this paper, we devise a new technique for the fusion of a sequence of multitemporal single-channel synthetic aperture radar (SAR) images of a given area with a single multiband optical image. Unlike for SAR, the availability of optical images is largely affected by atmospheric conditions, so that this is a case of practical interest. First, a statistical model for the joint distribution of SAR and optical data is provided. Then, a split-merge test based on this model is derived, and its performance is evaluated both analytically and using a Monte Carlo simulation. A new segmentation technique is introduced (OPT MUM), based on the test and on a region-growing scheme. The effectiveness of the proposed technique for the fusion of multitemporal SAR and multiband optical images is tested on synthetic and real images. Results show that the proposed scheme allows to both 1) discriminate characteristics that would be impossible to distinguish using only a single sensor and 2) increase the overall discrimination performance, even when each sensor has its own discrimination capability.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	2500
Ending Page	2518
Page Count	19
File Size	2198948
File Format	PDF
ISSN	01962892
Volume Number	41
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Adaptive optics Optical sensors Testing Atmospheric modeling Sensor phenomena and characterization Synthetic aperture radar Laser radar Availability Performance analysis
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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