Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2527-2533,2538

Extraction of terrace information based on UAV image and topographic index

Xue Mudana
Zhang Hongminga
Yang Jiangtaob
Li Xingshuc
a. College of Information Engineering, b. College of Water Resources & Architectural Engineering, c. College of Mechanical & Electronic Engineering, Northwest A&F University, Yangling Shaanxi 712100, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0182

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, it used the orthophoto and terrain index of UAV with 0.5 m resolution, and the fusion of the two kinds of data for extraction of terrace field and area statistic. The results show that with the fusion of orthophoto and terrain index is superior to those based on a single data source.

Foundation Support

国家自然科学基金资助项目(41771315,41301283,41371274)
国家重点研发计划资助项目(2017YFC0403203)
陕西省水利科技项目(2017slkj-7)
四川省地理信息科技项目(J2017ZC06)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0182
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Graphic & Image
Pages: 2527-2533,2538
Serial Number: 1001-3695(2019)08-061-2527-07

Publish History

[2019-08-05] Printed Article

Cite This Article

薛牡丹, 张宏鸣, 杨江涛, 等. 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): 2527-2533,2538. (Xue Mudan, Zhang Hongming, Yang Jiangtao, et al. Extraction of terrace information based on UAV image and topographic index [J]. Application Research of Computers, 2019, 36 (8): 2527-2533,2538. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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