高分辨率遥感影像阴影检测与补偿系统的设计与实现  

Design and development of the shadow detection and compensation system for high-resolution remote sensing images

作　　者：杨兴旺[1] 杨树文[1] 张黎明 姚花琴 李轶鲲[1] 

机构地区：[1]兰州交通大学测绘与地理信息学院,兰州730070

出　　处：《国土资源遥感》2015年第3期177-181,共5页Remote Sensing for Land & Resources

基　　金：中国测绘科学研究院科研专项项目"多源多时相高分辨率影像高大地物阴影检测算法研究"(编号:513157);甘肃省高等学校基本科研业务费项目"甘南地区滑坡泥石流信息遥感自动提取与危险性评价研究"(编号:212091);中国博士后科学基金项目"基于高分辨率遥感影像的滑坡自动提取方法研究"(编号:2014M552558XB)共同资助

摘　　要：阴影检测与补偿涉及遥感影像的不确定性、算法复杂度高及提取自动化程度低等问题。基于Arc GIS Engine平台,结合Matlab和GDAL开发工具,根据构建的高分辨率遥感影像阴影检测和补偿算法设计了一体化的阴影检测与补偿系统。系统采用了数据分块读取、2%线性拉伸及DLL动态链接库等关键技术,解决了大数据量影像读取、影像不确定性及系统可扩展性等问题,实现了系统的集成和优化,提高了运行效率。测试结果表明,该系统在Quick Bird、资源三号(ZY-3)等高分辨率遥感影像的阴影检测与补偿中具有较高的精度和效率,可用于数据批处理。Shadow detection and compensation involve such problems as the uncertainty of remote sensing images, the complexity designed an in of algorithm and the low degree of automatic extraction. In view of this situation, the authors have tegrated experimental system based on the algorithm built for high -resolution remote sensing image shadow detection and compensation on the ArcGIS Engine platform. The system also utilizes Matlab and GDAL. Some key technologies such as data block reading, 2% linear stretch and DLL are used in the shadow detection and compensation system implementation, which solves some problems such as reading large quantities of data, uncertainty of image, and extensibility of the system. The system achieves the integration and optimization of the system, and improves the operating efficiency. Experimental results show that the system performs higher precision and efficiency in shadow detection and compensation for high - resolution remote sensing images such as QuickBird and ZY -3. Therefore, the system can be used for batch processing of remote sensing image data.

关 键 词：阴影检测 阴影补偿 高分辨率遥感影像 线性拉伸 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]