NDLI: Very high resolution Image Segmentation by combined spectral and structural information

Content Provider	IEEE Xplore Digital Library
Author	Jing Liu Peijun Li Jun Zhang Jiancong Guo
Copyright Year	2012
Description	Author affiliation: Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Haidian District, Beijing 100871, China (Jing Liu; Peijun Li; Jun Zhang) \|\| Zhongchao Great Wall Financial Equipment Holding Co.Ltd, Xicheng District, Beijing 100871, China (Jiancong Guo)
Abstract	Image Segmentation is a key and prerequisite step for object-based analysis using very high resolution (VHR) images. The segmentation method based on morphological profiles proposed in [1] only makes use of the structural information from panchromatic image. This paper proposed a segmentation method for VHR multispectral images by combined spectral and structural information. The proposed method was evaluated by comparing with existing morphological segmentation methods through visual inspection and quantitative measures, using a Quickbird image of Beijing area. The experimental results indicate that the proposed method achieve a better performance.
Starting Page	24
Ending Page	29
File Size	2903006
Page Count	6
File Format	PDF
ISBN	9781467312721
e-ISBN	9781467312745
DOI	10.1109/CVRS.2012.6421227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Very high resolution Morphological profiles Spectral and structural information
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
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
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