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利用Retinex消除在彩红外遥感影像聚类中阴影的研究

  

  • 出版日期:2010-02-26 发布日期:2015-08-11

Shadow Removal in Remote Sensing Infrared Image Clustering Based on Retinex Method

  • Online:2010-02-26 Published:2015-08-11

摘要: 在采用彩红外遥感影像检测城市绿化应用中,由于城市地物复杂,高楼云集造成的阴影,以及大量存在的有色地物,构成了影像聚类提取植被信息的干扰源。针对以上问题,对Retinex理论进行了探讨,结合色度学等相关理论,本着复杂度低和可操作性高的设计理念,设计出可消除以上干扰源对影像聚类干扰的有效方法,准确提取了植被信息。

关键词: 计算机应用, 图像处理, 阴影消除, Retinex聚类, 彩红外遥感影像

Abstract: The infrared remote sensing always plays an important role in the application of detecting urban virescence. But in the city, complex ground-objects, a mass of shadows caused by high-buildings and a large number of color ground-objects form disturbing sources for extracting vegetation information. To solve above problems, Retinex and the chromatics are discussed and studied with colorimetry. A processing method is designed based on the idea of better maneuverability and low complexity to resist disturbance and to extract vegetation information from infrared remote sensing images.

Key words: computer application, image processing, shadow removal, Retinex clustering, infrared remote sensing