[1]张雨果,王飞,孙文义,等.基于面向对象的SPOT卫星影像梯田信息提取研究[J].水土保持研究,2016,23(06):345-351.
　ZHANG Yuguo,WANG Fei,SUN Wenyi,et al.Terrace Information Extraction From SPOT Remote Sensing Image Based on Object-oriented Classification Method[J].Research of Soil and Water Conservation,2016,23(06):345-351.
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基于面向对象的SPOT卫星影像梯田信息提取研究

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 23 期数: 2016年06期 页码: 345-351 栏目: 出版日期: 2016-12-28
Title:
Terrace Information Extraction From SPOT Remote Sensing Image Based on Object-oriented Classification Method
作者:
张雨果1, 王飞1,2,3, 孙文义2, 安淳淳2,3
1. 西北农林科技大学 资源环境学院, 陕西 杨凌 712100;
2. 中国科学院水利部 水土保持研究所, 陕西 杨凌 712100;
3. 中国科学院大学, 北京 100049
Author(s):
ZHANG Yuguo1, WANG Fei1,2,3, SUN Wenyi2, AN Chunchun2,3
1. College of Natural Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China;
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China
关键词:
梯田; 面向对象分类; 信息提取; 遥感影像; 黄土高原
Keywords:
terrace; object-oriented classification; information extraction; remote sensing image; Loess Plateau
分类号:
TP79;S343.3
摘要:
梯田信息准确和快速提取是区域水土保持动态监测和评价的核心技术之一，运用遥感技术进行地物信息提取是一种有效手段。该研究以燕沟流域为研究区，采用高分辨率的SPOT5遥感影像数据，基于面向对象分类技术，通过影像分割构建影像对象，在分析影像对象的光谱特征、纹理特征和空间特征的基础上，建立了梯田信息的遥感提取规则，实现了梯田的自动提取。最后用手工勾绘结果对梯田的遥感提取结果进行精度评价，从田块边界的吻合度评价位置精度，并通过比较该结果与人工目视解译结果进行面积精度评价。结果表明，基于面向对象分类的遥感方法可以较好地从原始影像中提取复杂地貌区梯田的位置信息，面积提取正确率达到78.38%，该方法可为黄土高原地区梯田信息遥感提取提供借鉴。
Abstract:
Accurate and rapid extraction of terrace is one of the core technologies for the dynamic monitoring and evaluation of soil and water conservation at a regional scale, and remote sensing technology provides an effective and efficient means to extract land cover information. In this paper, image segementation and rule based feature extraction were conducted to interpret the terrace information from the high spatial-resolution SPOT5 imageries in Yan’gou watershed on the Loess Plateau based on object-oriented classification method. Firstly, the image objects were set through the image segmentation. Secondly, the rules for terrace information extraction from remote sensing datasets were established via the analysis of spectral, texture and spatial feature of image objects. In this case, the automatic extraction of terrace was achieved. Finally, the accuracy of extraction results was evaluated through its comparison with visual interpretation results. The results showed that the position of terrace in complex geomorphic regions could be successfully identified through the object-oriented classification method, and the overall accuracy reached to 78.38%. The method developed in this paper is expected to provide a reference for the interpretation of terrace information from remote sensing imageries across the Loess Plateau.

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备注/Memo

收稿日期:2016-03-16;改回日期:2016-04-13。
基金项目:科技部科技基础性工作专项（2014FY210120）；基于中欧农业生产与环境恢复的交互式土壤质量评价（635750，欧盟，16146KYSB20150001，中国科学院）；中国科学院“西部之光”人才培养计划“黄土高原侵蚀坡地退耕还林草综合评价与可持续对策研究”
作者简介:张雨果(1989-),女,河南鲁山县人,硕士研究生,研究方向为黄土高原地区水土保持措施的遥感影像提取。E-mail:1246503839@qq.com
通讯作者:王飞(1971-),男,陕西省户县人,博士,研究员,主要从事水土保持环境效应研究。E-mail:wafe@ms.iswc.ac.cn

更新日期/Last Update: 1900-01-01