摘要
为精确提取RadarsatSAR图像上水稻田边界信息 ,开发了一个二维 8方向滤波算法并设计了优化的边界提取方案。将其应用于 86 3 30 8项目“SAR技术用于南方水稻长势监测与土地利用调查应用示范”研究中 ,结果表明该算法比用遥感图像处理软件(PCI)提取的水稻田边界更精细 ,且连续性好 ,从而在应用中可降低水稻种植面积计算的误差 。
In order to make a correct estimation of how much rice have been planted, it is essential to calculate the area of rice fields as precise as possible. Therefore to delineate the edge of rice fields and remove the area occupied by the widened ditch road, which is caused by corner reflector effect in SAR images, it becomes a critical topic in rice monitoring and yield estimation using SAR images. This paper introduces an edge detection and extraction scheme in Radarsat SAR images by applying a two dimensional (2 D) filter in eight directions. The edge extraction results delivered by this scheme are compared with the results delivered by an outstanding commercial remote sensing image processing software PCI. Image analysis indicates that the proposed scheme is superior to other edge detection algorithms and suitable for practical radar remote sensing application in rice monitoring and yield estimation.
出处
《高技术通讯》
EI
CAS
CSCD
2002年第11期26-29,共4页
Chinese High Technology Letters
基金
863计划 (863 3 0 8 13 0 3 )
国家自然科学基金 (4 99890 0 1)资助项目
