| 基于无人机遥感数据的生态渠系信息提取 |
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| 引用本文： | 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. |
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| 作者姓名： | 张自超 韩宇 陈建 王术波 王广琦 杜楠楠 |
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| 作者单位： | 1.中国农业大学工学院, 北京 100083; 2.中国农业大学水利与土木工程学院, 北京 100083 |
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| 摘 要： | 针对河套灌区引水灌溉中存在粗放型灌溉,且当地为提高产量,仅注重扩大种植面积的问题,提出了一种渠系信息精准提取的方法.基于无人机遥感图像,运用ENVI 5.1软件,对遥感图像进行预处理,对图像RGB3个通道分别进行拉伸显示,经组合以增强其对比度;运用面向对象法进行图像分割,用基于规则的分类方法,基于不同规则进行单独及组合分析,确定了“光谱平均值小于98、最小包围矩形长宽比处于其最小值与0.85之间、延长线大于1 m”的最优组合规则,提取了内蒙古河套灌区某部分生态渠系信息,对于生态渠道的识别精度达到毛沟级,并对提取结果进行了评价,其中组合辅助解译正确率达96.4%,为精准灌溉运行管理提供了较准确的渠系信息.
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| 关 键 词： | 生态渠系 精准灌溉 河套灌区 图像分割 无人机遥感图像 基于规则的分类 |
| 收稿时间： | 2018-05-01 |
Information extraction of ecological canal system based on unmanned aerial vehicle remote sensing data |
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| 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[J].Journal of Drainage and Irrigation Machinery Engineering,2018,36(10):1006-1011. |
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| Authors: | ZHANG Zichao HAN Yu CHEN Jian WANG Shubo WANG Guangqi DU Nannan |
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| Institution: | 1.College of Engineering, China Agricultural University, Beijing 100083, China; 2.College of Water Resource & Civil Engineering, China Agricultural University, Beijing 100083, China |
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| 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. |
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| Keywords: | ecological canal system precision irrigation Hetao Irrigation Area image segmentation unmanned aerial vehicle remote sensing image rule-based classification |
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