Extraction of residential area from high resolution images based on wavelet texture and primitive merging

doi:10.6046/gtzyyg.2017.01.04

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Abstract

Due to the highly detailed information and noise in the high resolution panchromatic images, the results of traditional residential area extraction algorithms based on texture features are not satisfactory. To tackle this problem, the authors propose a method based on wavelet texture and primitive merging in this paper. For obtaining the initial primitives, the image was firstly segmented by fractal net evolution approach modified by the wavelet transform, and then the multi-scale wavelet texture features extraction method was directly applied to the irregular image primitives. Based on the artificially provided seed primitives, the algorithm merged the primitives with similar texture features and then applied morphological methods to the result of primitive merging. In the experiment, Mapping Satellite-1(TH-1) panchromatic images were used to validate the proposed method. The comparative analysis with other texture features-based methods shows that the proposed method could extract the street-block residential area from high resolution panchromatic images with a higher extraction accuracy and computational efficiency.

Keywords flood inundation area spatial-temporal simulation level set remote sensing Heilong River flood

TP751.1

Issue Date: 23 January 2017

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	ZHANG Lianchong
	LI Guoqing
	YU Wenyang
	RAN Quan

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ZHANG Lianchong,LI Guoqing,YU Wenyang, et al. Extraction of residential area from high resolution images based on wavelet texture and primitive merging[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 21-28.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.04 OR https://www.gtzyyg.com/EN/Y2017/V29/I1/21

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