Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 1, pp. 105-116
Some applications of remote sensing image segmentation
1 Program Systems Institute RAS, Pereslavl-Zalessky, Russia
Accepted: 13.12.2015
DOI: 10.21046/2070-7401-2016-13-1-105-116
This paper is devoted to segmentation methods of remote sensing multispectral images. Examples of the most common applications involving image segmentation are given. Three basic algorithms of image segmentation are described: threshold segmentation, segmentation by building areas, and segmentation by border highlighting. The results of the algorithms, as well as their advantages and drawbacks, are demonstrated. Modern developing methods of image segmentation are also presented, their features, benefits and results are discussed. The paper describes channels of multispectral images and information one can derive by processing data from individual channels or their combinations. It is shown that using multispectral images instead of RGB ones is preferable in many important applications.
Keywords: image segmentation, remote sensing, computer vision, image processing, multispectral images
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