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改进对数变换联合局部增强的高分遥感影像阴影自动补偿方法

Shadow Compensation of High-Resolution Remote Sensing Images Based on Improved Logarithmic Transformation and Local Enhancement

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摘要

针对遥感影像中的阴影会导致地物信息受损、影像质量下降的问题,提出了联合对数变换与局部增强的高分遥感影像阴影补偿方法。在阴影检测结果的基础上,首先设计了改进的对数变换图像增强方法,构建了对数变换模型,实现了阴影区域亮度的有效提升。然后,联合局部补偿模型,进行了加权处理,提升了阴影区域的对比度。最后,基于阴影边界同类特征点匹配的思想,自动解算了补偿模型的参数,实现了自动补偿。实验结果表明,所提方法可有效地实现阴影补偿,提升阴影区域的亮度与对比度,较准确地再现阴影区域地物的真实信息。

Abstract

In order to solve the problem that the shadow in remote sensing images leads to the loss of ground object information and the degradation of image quality, we propose a shadow compensation method by combing logarithmic transformation with local enhancement in the high resolution remote sensing images. First, based on the shadow detection results, we design an improved logarithmic transformation image enhancement method and construct the logarithmic transformation compensation model to effectively increase the brightness of shadow areas. Then, we use the local compensation model and weighting treatment to improve the contrast of shadow areas. Finally, we obtain the automatic parameters of the compensation model using the information of similar points on both sides of the shadow boundary and realize the automatic compensation. The experimental results indicate that the proposed method can be used for shadow compensation, to improve the brightness and contrast of shadow areas, and to recover the true ground object information of shadow areas correctly.

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中图分类号:P237

DOI:10.3788/LOP57.201006

所属栏目:图像处理

基金项目:武汉大学测绘遥感信息工程国家重点实验室开放基金 、地理国情监测国家测绘地理信息局重点实验室开放基金 、湖北省教育厅科学研究计划资助项目;

收稿日期:2020-01-19

修改稿日期:2020-02-24

网络出版日期:2020-10-01

作者单位    点击查看

丰远远:长江大学地球科学学院, 湖北 武汉 430100
高贤君:长江大学地球科学学院, 湖北 武汉 430100武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
杨元维:长江大学地球科学学院, 湖北 武汉 430100武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
邓帆:长江大学地球科学学院, 湖北 武汉 430100

联系人作者:高贤君(junxgao@whu.edu.cn)

备注:武汉大学测绘遥感信息工程国家重点实验室开放基金 、地理国情监测国家测绘地理信息局重点实验室开放基金 、湖北省教育厅科学研究计划资助项目;

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引用该论文

Feng Yuanyuan,Gao Xianjun,Yang Yuanwei,Deng Fan. Shadow Compensation of High-Resolution Remote Sensing Images Based on Improved Logarithmic Transformation and Local Enhancement[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201006

丰远远,高贤君,杨元维,邓帆. 改进对数变换联合局部增强的高分遥感影像阴影自动补偿方法[J]. 激光与光电子学进展, 2020, 57(20): 201006

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