NDLI: Multiscale image segmentation with a dynamic label tree

Content Provider	IEEE Xplore Digital Library
Author	Rehreuer, H. Seidel, K. Datcu, M.
Copyright Year	1998
Description	Author affiliation: Commun. Technol. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland (Rehreuer, H.)
Abstract	Automatic information extraction from satellite images is the base of remote sensing image archives with content-based query services. Pyramidal image models based on multiscale Markov random fields in combination with a texture model proved to yield good classification and segmentation results. The texture model is used for initial soft classification and then the optimal segmentation given the classification is found using a hierarchical process. Segment probabilities are calculated in a fine-to-rough analysis and segmentation is performed by a rough-to-fine decision algorithm. Previously proposed models optimise the strength of the dependencies in a fixed hierarchical structure. In the authors' model they allow the dependencies to switch, so that the hierarchical structure itself is optimised. Their model is exactly tractable, achieves very smooth segmentations, even at coarse scale, and can be fast computed.
Starting Page	1772
Ending Page	1774
File Size	334700
Page Count	3
File Format	PDF
ISBN	0780344030
DOI	10.1109/IGARSS.1998.703647
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-07-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Remote sensing Pixel Random variables Communications technology Markov random fields Switches Aerodynamics Laboratories Design for disassembly
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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