结合阴影补偿的对象级高分辨率遥感影像多尺度变化检测

doi:10.11959/j.issn.1000-436x.2018168

Abstract

Abstract:

As an interpreting symbol of remote sensing images,shadow,however,brings about “pseudo changes”,which is one of the main sources leading to error detection in high-resolution remote sensing image change detection.For this issue,an object-based high-resolution remote sensing image change detection method was proposed combining with shadow compensation and multi-scale fusion.In the object orientation detection framework,the shadows in the remote sensing images were extracted.Then multi-scale change detection was conducted with shadow compensation.In the process,an objective function was constructed of mutual scale information minimization to realize the adaptive extraction of scale parameters.Based on this,combined with the shadow compensation factor,a multi-scale decision-level fusion strategy built on D-S theory of evidence was designed,and the levels of change intensity were further divided.The experiments show that the method is effective in solving the error detection problem caused by shadow,significantly improving the precision of change detection.

Key words: high resolution, remote sensing image, change detection, shadow compensation

CLC Number:

TP391

Chao WANG,Xuehong ZHANG,Aiye SHI,Dan LI,Yi SHEN. Object-based change detection method for high-resolution remote sensing image combining shadow compensation and multi-scale fusion[J]. Journal on Communications, 2018, 39(9): 159-167.

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方法	总体精度	错检率	漏检率	kappa系数	运行时长/s
本文方法	86.3%	12.5%	17.8%	0.678	28.2
OB-HMAD	79.5%	19.3%	24.4%	0.616	22.5
CVA-EM	71.3%	30.1%	26.1%	0.534	7.8

方法	总体精度	错检率	漏检率	kappa系数	运行时长/s
本文方法	84.4%	15.1%	17.9%	0.633	27.9
OB-HMAD	72.2%	29.9%	26.5%	0.537	23.2
CVA-EM	62.1%	42.5%	28.9%	0.497	7.5

实验数据集	方法	总体精度	错检率	漏检率	kappa系数
数据集1	本文方法	88.2%	11.1%	15.5%	0.728
	OB-HMAD	81.3%	19.1%	19.7%	0.657
数据集2	本文方法	85.5%	17.1%	15.8%	0.701
	OB-HMAD	75.2%	25.6%	28.5%	0.587
数据集3	本文方法	85.3%	16.1%	12.9%	0.698
	OB-HMAD	83.1%	16.5%	17.5%	0.681

Object-based change detection method for high-resolution remote sensing image combining shadow compensation and multi-scale fusion

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