首页 | 本学科首页   官方微博 | 高级检索  
     检索      

SNB—SAR数据在大范围水稻种植面积调查中的应用:以广东省早稻调查为例
引用本文:廖圣东,廖其芳,李岩,何敬廉.SNB—SAR数据在大范围水稻种植面积调查中的应用:以广东省早稻调查为例[J].热带地理,2001,21(4):346-349,359.
作者姓名:廖圣东  廖其芳  李岩  何敬廉
作者单位:广州地理研究所,资源环境信息中心,广东,广州,510070
基金项目:广东省“百项”工程资助项目 (编号 :99B0 5 70 1G)
摘    要:研究了在GSI支持下,Radarsat SNB-SAR数据用于广东省大范围水稻种植面积调查的方法与应用。首先,对SAR数据预处理,包括辐射校正、Frost滤波和几何精校正等;然后对预处理影像的后向散射值进行信息定量判断,结合GIS的辅助分析,剔除不可能是水稻信息的像元;最后对剔除非水稻信息后的影像进行最大似然法的有监分类,获取各区域水稻分布的影像并统计面积。结果表明,该方法对于大范围的水稻种植面积调查具有实用、快速的特点,其精度在平原地区具有较高的可靠性,山区因为地形的复杂性等原因尚需进一步研究以提高精度。

关 键 词:Radarsat  SNB-SAR  水稻面积制图  后向散射  GSI  雷达遥感  数据处理
文章编号:1001-5221(2001)04-0346-04

RICE MAPPING IN LARGE AREA USING RADARSAT SNB-SAR DATA—— A Case Study of Early Rice in Guangdong Province, China
LIAO Sheng dong,LIAO Qi fang,LI Yan,HE Jing lian.RICE MAPPING IN LARGE AREA USING RADARSAT SNB-SAR DATA—— A Case Study of Early Rice in Guangdong Province, China[J].Tropical Geography,2001,21(4):346-349,359.
Authors:LIAO Sheng dong  LIAO Qi fang  LI Yan  HE Jing lian
Abstract:A practical method of rice mapping in large area using Radarsat SNB SAR data in Guangdong Province, China is advanced. The SAR data pre processing includes radiometric correction, Frost filter and precise geometric correction, and so on. A quantilative estimation is made on the backscatters of SNB SAR images. With GIS , interfering the information is marked and rejected by the thematic layers for extracting rice information. Finally, Maximum Likelihood Supervised Classification is applied to the images for rice mapping, and the rice area is calculated. The result shows that the method is efficient, rapid and practical in large area. The accuracy is high and credible for plain area. But for mountainous area the method needs to be improved because of the complicated terrain conditions.
Keywords:Radarsat SNB  SAR  Rice mapping  Backscatter
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号