NDLI: A new region growing-based segmentation method for high resolution remote sensing imagery

Content Provider	IEEE Xplore Digital Library
Author	Xiuxia Li Linhai Jing Qizhong Lin Hui Li Ru Xu Yunwei Tang Haifeng Ding Qingjie Liu
Copyright Year	2015
Description	Author affiliation: Key Lab. of Digital Earth, Inst. of Remote Sensing, Beijing, China (Xiuxia Li; Linhai Jing; Qizhong Lin; Hui Li; Ru Xu; Yunwei Tang; Haifeng Ding; Qingjie Liu)
Abstract	In this article, a newsegmentation method based on traditional region growing (RG) is proposed for high resolutionremote sensing imagery. This method takes regional minima from horizontal and vertical gradient maps of the image as seeds for the following region growing processing. The new method consists of several steps as follows: (1)deriving a morphological gradient map from the input multispectral image, (2) morphologically filtering the gradient image to remove local minima with small depthand extracting regional minima of flat areas in the resulting filtered image as seeds, (3) segmenting the multispectral image using the RG approach with reference to the seeds, and (4) merge the resulting initial segments to yield asegmentation map. In a test with a WorldView-2 multispectral image, the proposed method offered segmentation maps with nearly the same accuracy as several current methods.
Starting Page	4328
Ending Page	4331
File Size	527063
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7326784
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 Remote sensing Spatial resolution Merging Sensors Indexes Object oriented methods High resolution image
Content Type	Text
Resource Type	Article

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