Automatic and high-precise extraction for water information from multispectral images with the step-by-step iterative transformation mechanism
Automatic and high-precise extraction for water information from multispectral images with the step-by-step iterative transformation mechanism
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作者：
Gao Li-jing
高精度和自动化是遥感信息提取研究的重要目标。本文以陆地卫星ETM为遥感数据源，采用基于归一化差分水指数(NDWI)的“整体-局部”的空间尺度转换机制。结合整体尺度的分割和局部尺度的分类，融合水体提取的层次知识，建立迭代算法，实现水体最优边界的逐步逼近，从而提取高精度的水体信息。高原湖泊信息提取实验表明，该方法能够准确提取复杂多样的水体信息，有效避免水体与阴影信息的混淆。
High-precision and automation are very important objectives of remote sensing information extraction research. This paper takes LANDSAT ETM as remote sensing data source, and uses spatial scaling (scale transformation) mechanism of "whole—local" based on Normalized Difference Water Index (NDWI). Combining the segmentation and classification at whole and local scales respectively, this study fuses the hierarchical knowledge of water extraction and sets up an iterative algorithm to achieve the gradually approach of the water body’s optimal margin, so that we can extract the high-precise water body information. The experiment of plateau lake information extraction demonstrated that the complex and various information of water body could be extracted accurately, and the confusion between water body and shadow information could also be effectively avoided.