CAJ | 학술논문

为了提高光谱。感图像数据的利用率，提出了一种基于光谱反射率特性的星载高光谱图像云检测方法。首先分析了各类地物在不同光谱下的反射率特征，根据其特点从星载高光谱图像中选取特定5个波长的图像数据，然后依照图像地物反射率及阈值判定法区分出高云区和中低云区，最后对二者合并，得到目标云区。试验结果表明，该方法的云检测率可达90％以上，虚警率在1％以内，可以准确区分云与雪地区域、沙漠区域以及植被区域，实现云检测。
위료제고광보。감도상수거적이용솔，제출료일충기우광보반사솔특성적성재고광보도상운검측방법。수선분석료각류지물재불동광보하적반사솔특정，근거기특점종성재고광보도상중선취특정5개파장적도상수거，연후의조도상지물반사솔급역치판정법구분출고운구화중저운구，최후대이자합병，득도목표운구。시험결과표명，해방법적운검측솔가체90％이상，허경솔재1％이내，가이준학구분운여설지구역、사막구역이급식피구역，실현운검측。
To improve the effectiveness of remote-sensing image data, a cloud detection method based on the reflectivity of hyperspectral remote image is proposed.According to the characteristic of the reflectivity be-tween different earth background, image data of five specific wavelengths are chosen, then high-cloud area and low-cloud are determined by judging the threshold of different spectrum.The object cloud area can be obtained by combining the high-cloud and low-cloud areas.The experiment result indicates that the accuracy of cloud detection is more than 90%, while false alarm ratio is less than 1%, which proves that the cloud area can be accurately identified from multiple types of earth background.