张宏鸣,王佳佳,韩文霆,李书琴,王红艳,付振宇.基于热红外遥感影像的作物冠层温度提取[J].农业机械学报,2019,50(4):203-210.
ZHANG Hongming,WANG Jiajia,HAN Wenting,LI Shuqin,WANG Hongyan,FU Zhenyu.Crop Canopy Temperature Extraction Based on Thermal Infrared Remote Sensing Images[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(4):203-210.
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基于热红外遥感影像的作物冠层温度提取   [下载全文]
Crop Canopy Temperature Extraction Based on Thermal Infrared Remote Sensing Images   [Download Pdf][in English]
投稿时间:2019-01-25  
DOI:10.6041/j.issn.1000-1298.2019.04.023
中文关键词:  冠层温度  热红外影像  正射影像  改进的Canny  SVM  小波变换
基金项目:国家自然科学基金项目(41771315、41371274)、国家重点研发计划项目(2017YFC0403200)、杨凌示范区产学研用协同创新重大项目(2018CXY-23)、宁夏自治区重点研发项目(2017BY067)和欧盟地平线2020研究与创新计划项目(GA:635750)
作者单位
张宏鸣 西北农林科技大学
宁夏智慧农业产业技术协同创新中心 
王佳佳 西北农林科技大学 
韩文霆 西北农林科技大学 
李书琴 西北农林科技大学
宁夏智慧农业产业技术协同创新中心 
王红艳 宁夏智慧农业产业技术协同创新中心
西部电子商务股份有限公司 
付振宇 西北农林科技大学 
中文摘要:热红外影像较难直接提取作物冠层区域,因而无法获得较精准的作物冠层温度。本文以拔节期的玉米为研究对象,利用六旋翼无人机搭载热红外成像仪和大疆精灵四Pro无人机,获得热红外影像及正射影像。基于高分辨率正射影像,采用改进的Canny边缘检测算子、支持向量机(Support vector machine,SVM)和小波变换3种方法提取玉米冠层区域,将提取结果进行二值化处理后,在热红外影像中以此生成掩膜并提取玉米冠层温度。应用提取的矢量面分析提取效果并对3种提取算法的精度进行评价。实验结果表明,改进的Canny边缘检测算子提取效果最优、SVM算法次之、小波变换最差,提取精度分别为87.3%、74.5%、68.2%。同时,将手持测温仪测得的玉米冠层温度与提取的冠层温度进行误差分析,结果表明,基于改进的Canny边缘检测算子提取的玉米冠层温度与地面实测值相关性最高,决定系数R2=0.9295,SVM算法决定系数R2=0.8957,小波变换决定系数R2=0.8760。改进的Canny边缘检测算子能够更好地提取玉米冠层区域,获取更加精确的玉米冠层温度,从而能够更有效地监测玉米生理状况,进行旱情预测,制定合理的灌溉、施肥措施以提高玉米产量。
ZHANG Hongming  WANG Jiajia  HAN Wenting  LI Shuqin  WANG Hongyan  FU Zhenyu
Northwest A&F University;Ningxia Smart Agricultural Industry Technology Collaborative Innovation Center,Northwest A&F University,Northwest A&F University,Northwest A&F University;Ningxia Smart Agricultural Industry Technology Collaborative Innovation Center,Ningxia Smart Agricultural Industry Technology Collaborative Innovation Center;West Electronic Business Co., Ltd. and Northwest A&F University
Key Words:canopy temperature  thermal infrared image  orthophoto  improved Canny  support vector machine  wavelet transform
Abstract:For the low resolution of thermal infrared image, the crop canopy area can not be accurately extracted, and accurate canopy temperature can not be obtained. Maize in the jointing stage was taken as research object, and the thermal infrared image and orthophoto were obtained by using the UAV equipped with thermal infrared imager and the Dajiang Elf Pro UAV. Based on high resolution orthophotos, the improved Canny edge detection operator, support vector machine (SVM) and wavelet transform were used to extract the maize canopy region, and the classification results were binarized in thermal infrared imaging. The maize canopy temperature was extracted by using the mask generated by the binarization result. The extracted vector surface analysis extraction effect was applied and the accuracy of the three extraction algorithms was evaluated. The experimental results showed that the effects of the three methods from strong to weak were as follows: improved Canny edge detection operator, SVM and wavelet transform;the extraction accuracy was 87.3%, 74.5% and 68.2%, respectively. At the same time, the error analysis of the maize canopy temperature measured by the hand held thermometer and the extracted canopy temperature was performed. The experimental results showed that the correlation between the canopy temperature extracted by the three algorithms and the measured temperature of the ground from strong to weak was as follows: 0.9295, 0.8957 and 0.8760. The improved Canny edge detection operator can better extract the maize canopy area and obtain more accurate maize canopy temperature, so as to more effectively monitor the physiological status of maize, predict drought, and formulate reasonable irrigation and fertilization measures to increase maize yield.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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