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| 多时相Radarsat数据在广东肇庆地区稻田分类中的应用 | |
| 引用本文： | 刘浩,邵芸,王翠珍,Brian Brisco,Gordon Staples.多时相Radarsat数据在广东肇庆地区稻田分类中的应用[J].国土资源遥感,1997,8(4):1-6,13. |
| 作者姓名： | 刘浩 邵芸 王翠珍 Brian Brisco Gordon Staples |
| 作者单位： | 中国科学院遥感应用研究所 |
| 摘 要： | 将1996年获取的4个时相的Radarsat图像用于广东肇庆地区的稻田分类试验,结果表明,多时相Radarsat数据对水稻类型的识别精度较高,而且稻田的轮作规律容易推测出来。本文系统地介绍了这一试验研究的最新进展,探讨了神经网络分类方法在SAR图像处理中的应用潜力和Radarsat数据在中国南方水稻监测中的最佳时相选择和有效分辨率问题。 |
| 关 键 词： | Radarsat数据 稻田分类 神经网络 |
| 收稿时间： | 1997-07-25 |
THE APPLICATION OF MULTI-TEMPORAL RADARSAT DATA TO PADDY FIELD CLASSIFICATION IN ZHAOQING AREA, GUANGDONG PROVINCE, CHINA |
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| Liu Hao \ Shao Yuan \ Wang Cuizheng.THE APPLICATION OF MULTI-TEMPORAL RADARSAT DATA TO PADDY FIELD CLASSIFICATION IN ZHAOQING AREA, GUANGDONG PROVINCE, CHINA[J].Remote Sensing for Land & Resources,1997,8(4):1-6,13. | |
| Authors: | Liu Hao \ Shao Yuan \ Wang Cuizheng |
| Institution: | 1. Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing, 100101; 2. Canada Center for Remote Sensing, 588 Booth Street, Ottawa, Ontario, Canada K1A0Y7; 3. Radarsat International, 275 Slater Street,Ontario, Canada K1PSH9 |
| Abstract: | It gets a good result, that the multi-temporal Radarsat data are applied to paddy Field Classification in Zhaoqing area, Guangdong province, China. The discrimination of paddy field can reach a high accuracy, and the rotation process in paddy field can also be inferred easily. This paper demonstrate the latest development in this experimental research. Emphasis has been placed on the potential of neural network classifier's application to SAR image processing and the optimum Radarsat data selection for paddy monitoring in the southern China. |
| Keywords: | Radarsat data \ Paddy field classification \ Neural net |
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