Remote sensing image segmentation under vector map constraints

doi:10.6046/gtzyyg.2016.03.13

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Abstract

In order to solve the problem of remote sensing image segmentation under vector map constraints, this paper proposes a marker-based watershed method for remote sensing image segmentation under vector map constraints. Firstly, the constrained vector map is mapped to the edge of the image. The markers are extracted in the image with edge. Secondly, the pseudo marked areas are eliminated by area constraint. The flood for unmarked pixels is implemented by a priority queue arrow. Lastly, the edge pixels in the image are labeled by a similarity measurement. The label image is used for vectorization to get the segmentation result. The experimental result on the QuickBird image shows that the proposed method can realize image segmentation under vector map constraints. Compared with multiresolution segmentation method in eCognition software, the proposed method is more efficient when the remote sensing image is large.

Keywords Anning Basin eco-environmental vulnerability spatial projection pursuit model geographic information system (GIS) remote sensing (RS)

TP751.1

Issue Date: 01 July 2016

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	Articles by authors

	SHAO Qiufang
	PENG Peihao
	HUANG Jie
	LIU Zhi
	SUN Xiaofei
	SHAO Huaiyong

Cite this article:

SHAO Qiufang,PENG Peihao,HUANG Jie, et al. Remote sensing image segmentation under vector map constraints[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 80-85.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.03.13 OR https://www.gtzyyg.com/EN/Y2016/V28/I3/80

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