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A NDVI assisted remote sensing image adaptive scale segmentation method
Author(s): Hong Zhang; Jinxiang Shen; Yanmei Ma
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Paper Abstract

Multiscale segmentation of images can effectively form boundaries of different objects with different scales. However, for the remote sensing image which widely coverage with complicated ground objects, the number of suitable segmentation scales, and each of the scale size is still difficult to be accurately determined, which severely restricts the rapid information extraction of the remote sensing image. A great deal of experiments showed that the normalized difference vegetation index (NDVI) can effectively express the spectral characteristics of a variety of ground objects in remote sensing images. This paper presents a method using NDVI assisted adaptive segmentation of remote sensing images, which segment the local area by using NDVI similarity threshold to iteratively select segmentation scales. According to the different regions which consist of different targets, different segmentation scale boundaries could be created. The experimental results showed that the adaptive segmentation method based on NDVI can effectively create the objects boundaries for different ground objects of remote sensing images.

Paper Details

Date Published: 8 March 2018
PDF: 4 pages
Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106110C (8 March 2018); doi: 10.1117/12.2284249
Show Author Affiliations
Hong Zhang, Yunnan Land and Resources Vocational College (China)
Jinxiang Shen, Yunnan Land and Resources Vocational College (China)
Yanmei Ma, Yunnan Land and Resources Vocational College (China)


Published in SPIE Proceedings Vol. 10611:
MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Nong Sang; Jie Ma; Zhong Chen, Editor(s)

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