ISWC OpenIR  > 水保所知识产出(1956---)
高分辨率遥感影像梯田快速提取方法研究进展
党恬敏1; 穆兴民2,3; 孙文义2,3; 高 鹏2,3; 赵广举2,3
2017
Source Publication人民黄河 
Volume39Issue:3Pages:85-94
Abstract

通过对常用高分辨率影像的参数、软件及特征指标等进行系统总结和整理,分析了梯田信息提取技术的特点和
难点,并将目视解译法、基于象元提取法和面向对象提取法提取梯田信息的效率、精度、优缺点进行了比较。面向对象法
提取效率和精度都较高,因此是目前高分辨率影像分类提取的发展趋势。
关键词: 遥感影像; 梯田信息; 快速提取; 研究进展

Other Abstract

This paper systemically reviewed the parameters, software and characteristic indexes of typical high resolution images based on va⁃
rious methods and analyzed the technical characteristics and difficulties of terrace's extraction. It dissected visual interpretation method, pixel
extraction method and object⁃oriented extraction method and compared the efficiency, precision, advantages and disadvantages of these three
kinds of extraction methods. The efficiency and precision of object⁃oriented extraction method are both higher, so it is the trend of high⁃reso⁃
lution remote sensing image used in the terraces⁃extraction technology.

Keyword遥感影像 梯田信息 快速提取 研究进展
Indexed By中文核心期刊要目总览
Language中文
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/8398
Collection水保所知识产出(1956---)
Affiliation1.西北农林科技大学资源环境学院
2.西北农林科技大学水土保持研究
3.中国科学院水利部水土保持研究所
Recommended Citation
GB/T 7714
党恬敏,穆兴民,孙文义,等. 高分辨率遥感影像梯田快速提取方法研究进展[J]. 人民黄河 ,2017,39(3):85-94.
APA 党恬敏,穆兴民,孙文义,高 鹏,&赵广举.(2017).高分辨率遥感影像梯田快速提取方法研究进展.人民黄河 ,39(3),85-94.
MLA 党恬敏,et al."高分辨率遥感影像梯田快速提取方法研究进展".人民黄河  39.3(2017):85-94.
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