Information extraction of ecological canal system based on unmanned aerial vehicle remote sensing data
ZHANG Zichao1, HAN Yu2, CHEN Jian1*, WANG Shubo1, WANG Guangqi1, DU Nannan1
1.College of Engineering, China Agricultural University, Beijing 100083, China; 2.College of Water Resource & Civil Engineering, China Agricultural University, Beijing 100083, China
Abstract:There is extensive irrigation in the irrigation of Hetao irrigation area, local cultivators only focu on expanding planting area to increase the production. A precise extraction method for canal information was porposed. Based on the unmanned aerial vehicle(UAV)remote sensing image, the ENVI 5.1 software was used to preprocess the remote sensing images. The three channels of the image were stretched and displayed respectively, and the contrast was enhanced by combination of three channels. The object-oriented method was used to segment the image, and the rule-based classification method was used for the separate and combined analysis based on the different rules. The optimal combination rule of "the spectral mean value is less than 98, the minimum bounding rectangle length width ratio is at its minimum and 0.85 and the extension line is more than 1 m" was proposed. The information of some part of the ecological canal system in the Hetao Irrigation Area of Inner Mongolia was extracted. The recognition accuracy of the ecological channel reached the gross groove level, and the extraction results were evaluated. The correct rate of the combination assisted interpretation was up to 96.4%, which provided accurate drainage information for precision irrigation operation management.
张自超, 韩宇, 陈建*, 王术波, 王广琦, 杜楠楠. 基于无人机遥感数据的生态渠系信息提取[J]. 排灌机械工程学报, 2018, 36(10): 1006-1011.
ZHANG Zichao, HAN Yu, CHEN Jian*, WANG Shubo, WANG Guangqi, DU Nannan. Information extraction of ecological canal system based on unmanned aerial vehicle remote sensing data. Journal of Drainage and Irrigation Machinery Engin, 2018, 36(10): 1006-1011.
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