NDLI: Improved fast mean shift algorithm for remote sensing image segmentation

Content Provider	IET Digital Library
Author	Zhou, Jia Xiang Li, Zhi Wei Fan, Chong
Abstract	Image segmentation plays a crucial role in object-based remote sensing information extraction. This study improves the existing mean shift (MS) algorithm for segmenting high resolution remote sensing imagery by adopting two strategies. First, a pixel-based, fixed bandwidth and weighted MS algorithm is applied to cluster the image. In this process, the space bandwidth is selected according to the resolution of remote sensing images, and the range bandwidths of each band are calculated based on grey feature and the plug-in rule. Gaussian kernels are used for clustering. Second, a region-based MS algorithm is applied to globally merge modes which are obtained in the first step. The spatial and range bandwidths are adaptively adjusted based on the clustering result of the first step. Experimental results with two Quickbird images show that the improved algorithm is superior to the typical MS algorithm, producing high precision and requiring less operation time.
Starting Page	389
Ending Page	394
Page Count	6
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 5, May (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0393
Journal	IET Image Processing
Publisher Date	2014-10-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Fast Mean Shift Algorithm Fixed Bandwidth MS Algorithm Gaussian Kernels Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing Grey Feature Image Clustering Image Recognition Image Segmentation Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Pattern Clustering Pixel-based MS Algorithm Plug-in Rule Quickbird Image Region-based MS Algorithm Remote Sensing Remote Sensing Image Segmentation Space Bandwidth Weighted MS Algorithm
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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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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