XU Kaiqiu, GONG Yan, FANG Shenghui, WANG Taoyang. Geometric Correction of Thermal Infrared Remote Sensing Image Assisted by High-Resolution Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(3): 426-431. DOI: 10.13203/j.whugis20180089
Citation: XU Kaiqiu, GONG Yan, FANG Shenghui, WANG Taoyang. Geometric Correction of Thermal Infrared Remote Sensing Image Assisted by High-Resolution Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(3): 426-431. DOI: 10.13203/j.whugis20180089

Geometric Correction of Thermal Infrared Remote Sensing Image Assisted by High-Resolution Data

Funds: 

The National Natural Science Foundation of China 41771381

The National Natural Science Foundation of China 41501503

the National High Technology Research and Development Program of China 2013AA102401

More Information
  • Author Bio:

    XU Kaiqiu, postgraduate, specializes in high resolution image analysis. E-mail: kqxu@whu.edu.cn

  • Corresponding author:

    GONG Yan, PhD, professor. E-mail: gongyan@whu.edu.cn

  • Received Date: August 19, 2018
  • Published Date: March 04, 2020
  • With the development of thermal infrared remote sensing technology, the thermal infrared remote sensing image has an extremely vital significance in land surface temperature inversion, forest fire monitoring, mineral detection and other field, and in these applications, the geometric correction is an important basic technology. We use the advantage of the high-resolution satellite, study the differences and correlation of different remote sensing sensors, and introduce a method of combining simulation images with feature matching. The method based on high resolution optical image, according to the radiation transfer equations of thermal infrared, it use the ground radiation data to simulate the thermal infrared image. Then we can use the simulation image to assist the geometric correction of the thermal infrared image. After simulate the image, we use the scale invariant feature transform(SIFT) feature detection algorithm to find the homonymous points, and then finish the geometric correction of thermal infrared image. Experiment results show that this method makes the geometric correction of thermal infrared remote sensing image with high precision.
  • [1]
    Zhang X, Men T, Liu C, et al. Infrared and Visible Images Registration Using BEMD and MI[C]. IEEE International Conference on Computer Science and Information Technology, Chengdu, China, 2010
    [2]
    周浩, 叶沅鑫, 王蕾.一种利用点特征和互信息的多源遥感影像配准方法[J].遥感信息, 2015(3):99-103 http://d.old.wanfangdata.com.cn/Periodical/ygxx201503018

    Zhou Hao, Ye Yuanxin, Wang Lei. A Multi-source Remote Sensing Image Registration Method Using Point Features and Mutual Information[J]. Remote Sensing Information, 2015(3):99-103 http://d.old.wanfangdata.com.cn/Periodical/ygxx201503018
    [3]
    梁超.基于互信息的异源图像配准研究[D].西安: 西安电子科技大学, 2014 http://cdmd.cnki.com.cn/Article/CDMD-10701-1015433539.htm

    Liang Chao. Study of Multi-sensor Images Registration Based on Mutual Information[D]. Xi'an: Xidian University, 2014 http://cdmd.cnki.com.cn/Article/CDMD-10701-1015433539.htm
    [4]
    李龙勋.基于互信息的异源图像匹配与融合[D].成都: 电子科技大学, 2013

    Li Longxun. The Registration and Fusion of Multi-sensor Image Base on Mutual Information[D].Chengdu: University of Electronic Science and Technology of China, 2013
    [5]
    Kelman A, Sofka M, Stewart C V. Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA, 2007
    [6]
    Huang Q, Yang J. Visible and Infrared Image Registration Algorithm Based on NSCT and Gradient Mirroring[C]. SPIE Asia-Pacific Remote Sensing, Beijing, China, 2014
    [7]
    叶沅鑫, 单杰, 熊金鑫, 等.一种结合SIFT和边缘信息的多源遥感影像匹配方法[J].武汉大学学报·信息科学版, 2013, 38(10):1148-1151 http://ch.whu.edu.cn/CN/abstract/abstract2771.shtml

    Ye Yuanxin, Shan Jie, Xiong Jinxin, et al. A Matching Method Combining SIFT and Edge Information for Multi-source Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10):1148-1151 http://ch.whu.edu.cn/CN/abstract/abstract2771.shtml
    [8]
    叶沅鑫, 慎利, 陈敏, 等.局部相位特征描述的多源遥感影像自动匹配[J].武汉大学学报·信息科学版, 2017, 42(9):1278-1284 http://ch.whu.edu.cn/CN/abstract/abstract5829.shtml

    Ye Yuanxin, Shen Li, Chen Min, et al. An Automatic Matching Method Based on Local Phase Feature Descriptor for Multi-source Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9):1278-1284 http://ch.whu.edu.cn/CN/abstract/abstract5829.shtml
    [9]
    闫利, 胡修兵, 陈长军, 等.多模态图像配准的梯度一致性算子[J].武汉大学学报·信息科学版, 2013, 38(8):969-972 http://ch.whu.edu.cn/CN/abstract/abstract2729.shtml

    Yan Li, Hu Xiubing, Chen Changjun, et al. An Operator of Gradient Consistency for Multimodal Image Registration[J].Geomatics and Information Science of Wuhan University, 2013, 38(8):969-972 http://ch.whu.edu.cn/CN/abstract/abstract2729.shtml
    [10]
    Xu Jun, Fu Tianyu, Yang Jian, et al. Registration of Infrared Image and Visible Image Based on Saliency and EOH Feature Analysis[J]. Optics and Precision Engineering, 2016, 24(11):2830-2840 doi: 10.3788/OPE.20162411.2830
    [11]
    张勇, 余建平, 孙军伟, 等.基于Harris的角点匹配算法研究[J].计算机与现代化, 2011(11):78-81 http://d.old.wanfangdata.com.cn/Periodical/jsjyxdh201111021

    Zhang Yong, Yu Jianping, Sun Junwei, et al. Research on Corner Matching Method Based on Harris[J]. Computer and Modernization, 2011(11):78-81 http://d.old.wanfangdata.com.cn/Periodical/jsjyxdh201111021
    [12]
    Griend A, Owe M. On the Relationship Between Thermal Emissivity and the Normalized Difference Vegetation Index for Natural Surfaces[J].International Journal of Remote Sensing, 1993, 14(6):1119-1131 doi: 10.1080/01431169308904400
    [13]
    Sobrino J A, Jimenez-Munoz J C, Soria G, et al. Land Surface Emissivity Retrieval from Different VNIR and TIR Sensors[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(2):316-327 doi: 10.1109/TGRS.2007.904834
    [14]
    覃志豪, 李文娟, 徐斌, 等.陆地卫星TM6波段范围内地表比辐射率的估计[J].国土资源遥感, 2004, 16(3):28-32 http://d.old.wanfangdata.com.cn/Periodical/gtzyyg200403007

    Qin Zhihao, Li Wenjuan, Xu Bin, et al. The Estimation of Land Surface Emissivity for Landsat TM6[J]. Remote Sensing of Land and Resources, 2004, 16(3):28-32 http://d.old.wanfangdata.com.cn/Periodical/gtzyyg200403007
    [15]
    达日玛, 包玉海.基于TM数据的地表比辐射率反演方法对比分析[J].内蒙古师范大学学报(自然科学汉文版), 2010, 39(2):186-190 http://d.old.wanfangdata.com.cn/Periodical/nmgsdxb201002018

    Da Rima, Bao Yuhai. Comparative Analysis of Land Surface Emissivity (LSE) Retrieval Methods Based on TM Data[J]. Journal of Inner Mongolia Normal University (Natural Science Edition), 2010, 39(2):186-190 http://d.old.wanfangdata.com.cn/Periodical/nmgsdxb201002018
    [16]
    Sun D, Kafatos M. Note on the NDVI-LST Relationship and the Use of Temperature Related Drought Indices over North America[J]. Geophysical Research Letters, 2007, 34(24):497-507 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=f23445141e4008ee51bf6f487a739cef
    [17]
    历华, 柳钦火, 邹杰.基于MODIS数据的长株潭地区NDBI和NDVI与地表温度的关系研究[J].地理科学, 2009, 29(2):262-267 http://d.old.wanfangdata.com.cn/Periodical/dlkx200902019

    Li Hua, Liu Qinhuo, Zhou Jie. Relationships of LST to NDBI and NDVI in Changsha-Zhuzhou-Xiangtan Area Based on MODIS Data[J].Geoscience, 2009, 29(2):262-267 http://d.old.wanfangdata.com.cn/Periodical/dlkx200902019
    [18]
    马伟, 赵珍梅, 刘翔, 等.植被指数与地表温度定量关系遥感分析:以北京市TM数据为例[J].国土资源遥感, 2010, 22(4):108-112 http://d.old.wanfangdata.com.cn/Periodical/gtzyyg201004022

    Ma Wei, Zhao Zhenmei, Liu Xiang, et al. A Quantitative Analysis of the Relationship Between Vegetation Indices and Land Surface Temperature Based on Remote Sensing:A Case Study of TM Data for Beijing[J]. Remote Sensing of Land and Resources, 2010, 22(4):108-112 http://d.old.wanfangdata.com.cn/Periodical/gtzyyg201004022
    [19]
    于臻.基于多时相遥感数据青岛市热岛效应变化研究[D].青岛: 山东科技大学, 2015 http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=Y2924293

    Yu Zhen. A Study of Urban Heat Island Changes in Qingdao Based on Multi-temporal Remote Sensing Data[D].Qingdao: Shandong University of Science and Technology, 2015 http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=Y2924293
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