Study on the Separation Technology of Temperature and Emissivity Data Based on the Airborne Thermal Infrared Image

被引:0
|
作者
Wang, Junhu [1 ]
机构
[1] Beijing Res Inst Uranium Geol, Natl Key Lab Remote Sensing Informat & Image Anal, Beijing, Peoples R China
关键词
Thermal infrared image; Temperature and emissivity separation; Objects identification; Support;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Since the high-resolution airborne thermal infrared imaging spectrometer is used to civilian field, it shows attractive application prospect in the field of objects recognition. Taking an area for example, the paper carries out the technology research for temperature and emissivity separation, based on the high-resolution aerial thermal infrared image obtained in the early morning, and completes the subjective visual evaluation and objective statistical evaluation for the temperature and emissivity image separated by different methods from aerial thermal infrared image. Furthermore, the paper establishes a set of temperature and emissivity separation and evaluation methods which are suitable for anomaly heat identification. Above all, the temperature and emissivity image separated by proper methods will provide accurate data support for objects identification.
引用
收藏
页码:1317 / 1324
页数:8
相关论文
共 50 条
  • [31] Recovering surface temperature and emissivity from thermal infrared multispectral data
    Schmugge, T
    Coll, C
    Hook, SJ
    PHYSICAL MEASUREMENTS AND SIGNATURES IN REMOTE SENSING, VOLS 1 AND 2, 1997, : 171 - 178
  • [32] Recovering surface temperature and emissivity from thermal infrared multispectral data
    Schmugge, T
    Hook, SJ
    Coll, C
    REMOTE SENSING OF ENVIRONMENT, 1998, 65 (02) : 121 - 131
  • [33] New framework for land surface temperature and emissivity inversion based on hyperspectral thermal infrared data
    Li, Xiujuan
    Wu, Hua
    Ni, Li
    Zhang, Yuze
    Jiang, Xiaoguang
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2023,
  • [34] The Correlation Based Mid-Infrared Temperature and Emissivity Separation Algorithm
    Cheng Jie
    Nie Ai-xiu
    Du Yong-ming
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29 (02) : 340 - 345
  • [35] Analysis and extraction of emissivity information from an airborne thermal infrared multispectral scanner (ATIMS) data
    Zheng, LF
    Zhao, DG
    Tong, QX
    Dang, SX
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 1998, 17 (03) : 166 - 170
  • [36] COMPARISON OF THE LAND SURFACE TEMPERATURE AND EMISSIVITY SEPARATION METHOD FOR HYPERSPECTRAL THERMAL INFRARED MEASUREMENT
    Wang, Ning
    Wang, Xinhong
    Ma, Lingling
    Qian, Yonggang
    Tang, Lingli
    Li, Chuanrong
    2012 4TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING (WHISPERS), 2012,
  • [37] Temperature and Emissivity Retrievals From Hyperspectral Thermal Infrared Data Using Linear Spectral Emissivity Constraint
    Wang, Ning
    Wu, Hua
    Nerry, Francoise
    Li, Chuanrong
    Li, Zhao-Liang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (04): : 1291 - 1303
  • [38] Temperature and emissivity retrieval from low-emissivity materials using hyperspectral thermal infrared data
    Chen, Mengshuo
    Jiang, Xiaoguang
    Wu, Hua
    Qian, Yonggang
    Wang, Ning
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (5-6) : 1655 - 1671
  • [39] Errors analysis on temperature and emissivity determination from hyperspectral thermal infrared data
    OuYang, Xiaoying
    Wang, Ning
    Wu, Hua
    Li, Zhao-Liang
    OPTICS EXPRESS, 2010, 18 (02): : 544 - 550
  • [40] FUTURE POTENTIAL OF THERMAL INFRARED MULTISPECTRAL DATA FOR MAPPING TEMPERATURE AND EMISSIVITY PARAMETERS
    ROKUGAWA, S
    MATSUNAGA, T
    TSU, H
    ISHII, Y
    REMOTE SENSING OF EARTHS SURFACE AND ATMOSPHERE, 1993, 14 (03): : 71 - 80