NDLI: Improved partition trees for multi-class segmentation of remote sensing images

Content Provider	IEEE Xplore Digital Library
Author	Maggiori, E. Tarabalka, Y. Charpiat, G.
Copyright Year	2015
Description	Author affiliation: TAO team, Inria Saclay, Gif-sur-Yvette, France (Charpiat, G.) \|\| TITANE team, Inria Sophia Antipolis Mediterranee, Valbonne, France (Maggiori, E.; Tarabalka, Y.)
Abstract	We propose a new binary partition tree (BPT)-based framework for multi-class segmentation of remote sensing images. In the literature, BPTs are typically computed in a bottom-up manner based on spectral similarities, then analyzed to extract image objects. When image objects exhibit a considerable internal spectral variability, it often happens that such objects are composed of several disjoint regions in the BPT, yielding errors in object extraction. We pose the multi-class segmentation problem as an energy minimization task and solve it by using BPTs. Our main contribution consists in introducing a new dissimilarity function for the tree construction, which combines both spectral discrepancies and supervised class-specific information to take into account the within-class spectral variability. The experimental validation proved that the proposed method constitutes a competitive alternative for object-based image classification.
Starting Page	1016
Ending Page	1019
File Size	3150570
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7325941
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Tiles Support vector machines Remote sensing Minimization Image color analysis energy minimization Binary partition tree segmentation object-based classification
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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