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无人机影像与地形指数结合的梯田信息提取
引用本文:薛牡丹,张宏鸣,杨江涛,李星恕. 无人机影像与地形指数结合的梯田信息提取[J]. 计算机应用研究, 2019, 36(8)
作者姓名:薛牡丹  张宏鸣  杨江涛  李星恕
作者单位:西北农林科技大学 信息工程学院,西北农林科技大学 信息工程学院,西北农林科技大学 水利与建筑工程学院,西北农林科技大学 机械与电子工程学院
基金项目:国家自然科学(41771315,41301283、41371274);国家重点研发计划项目(2017YFC0403203);陕西省水利科技项目(2017slkj-7),四川省地理信息科技项目(J2017ZC06)
摘    要:目前,通过卫星遥感、低空遥感影像自动,半自动化解译梯田信息有一定的研究进展,但是受数据获取成本、精度、解译方法单一等限制,只限于大面积提取梯田区域。低成本地进行梯田的田面精准提取以及面积统计仍需进一步研究。本文基于面向对象方法分别对0.5m分辨率的无人机正射影像和地形指数,及两种数据的结合进行梯田区域分割、提取及面积统计。结果表明,将正射影像数据与地形指数结合的梯田的田面提取结果优于基于单一数据源。

关 键 词:梯田  无人机正射影像  地形指数  面向对象  监督分类
收稿时间:2018-01-07
修稿时间:2019-07-01

Information extraction of terrace based on UAV image and topographic index
Xue Mudan,Zhang Hongming,Yang Jiangtao and Li Xingshu. Information extraction of terrace based on UAV image and topographic index[J]. Application Research of Computers, 2019, 36(8)
Authors:Xue Mudan  Zhang Hongming  Yang Jiangtao  Li Xingshu
Affiliation:College of information engineering,Northwest A F University,Yangling,,,
Abstract:At present, semi-automatic interpreting terrace information had certain research progress through satellite remote sensing and low-altitude remote sensing imagery. However, limited by data acquisition cost, accuracy, and single interpretation methods, it was currently limited to large-scale extraction of terraced areas. Accurate extraction of terrace field and area statistics at low cost still require further study. In this study, based on the object-oriented approach, the orthophoto and terrain index of UAV with 0.5m resolution, and the fusion of the two kinds of data were used for extraction of terrace field and area statistic. The results show that with the fusion of orthophoto and terrain index it is superior to those based on a single data source.
Keywords:terrace   UAV orthophoto   topographic index   object-oriented   supervised classification
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