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冬小麦种植面积遥感提取方法研究

DOI: 10.6046/gtzyyg.2013.04.02, PP. 8-15

Keywords: 遥感,冬小麦种植面积,信息提取,综述

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Abstract:

提取冬小麦种植面积是开展冬小麦长势监测和估产工作的重要环节,如何提高其提取精度是国内外研究的热点。针对不同空间分辨率的遥感图像,采取不同的遥感解译模型,得到更高的信息提取精度,是利用遥感方法提取冬小麦种植面积的关键。在对国内、外调研的基础上,将冬小麦种植面积遥感提取研究方法归纳为目视解译与计算机自动分类、面向像元分类、基于地块分类、遥感解译模型分类和基于纹理特征分类等5类。综述评价了主要的冬小麦种植面积遥感提取研究方法,讨论了目前冬小麦种植面积遥感提取存在的问题及未来发展方向。关注地形复杂、耕地破碎度较高及种植结构复杂地区的冬小麦种植面积提取,遥感数据、GIS和气象数据等相结合、多源多时相遥感数据相结合、地面光谱测量数据与高光谱图像数据相结合,以及验证数据的改变等,是提高冬小麦种植面积遥感提取精度的研究方向。

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