A New Method to Distinguish between Irrigated Dry Land and Rain-Fed Dry Land using Multi-Temporal MODIS and Ancillary Data: An Application Ezample in China

摘要：

Accurate information on the extent of irrigated dry land and rain-fed dry land is fundamental to many aspects of human existence and agricultural water resource sustainable development. This paper proposes a new method for distinguishing between irrigated dry land and rain-fed dry land. It chooses three kinds of classification features which are Fourier components feature, fractal texture feature and terrain feature and then uses classification algorithm called Ga optimized BP-ANN. Results show that the method this paper proposed is feasible and the accuracy of this result is much higher than others such as USGSs and IWMIs.

关键词： Fourier component fractal tezture terrain GA optimized BP-ANN multi-temporal MODIS data

作者: Tingting Dong Zhenying Wang

作者单位: Liaoning Research Institute of Water Resources and Hydropower Shenyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 393-398

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）