基于大气吸收线特征的高光谱热红外数据地表温度/比辐射率反演算法
地表温度和比辐射率的准确提取和反演是热红外遥感的核心问题之一.由于地表温度/比辐射率反演问题的病态性,以及地表—大气强耦合特征等诸多问题,导致目前反演精度仍有待进一步提高.通过深入挖掘大气吸收峰/谷通道处下行辐射偏移量特性,提出了一种基于大气吸收线特征的高光谱热红外温度/比辐射率反演方法,并通过最优通道选择提高了算法的效率和精度.算法一定程度上可抑制大气校正不准确引入的误差,能够有效提高低比辐射率地物的反演精度.模拟数据结果表明：针对高比辐射率地物,算法与ISSTES方法的反演精度基本一致;针对低比辐射率地物,算法最大可提高温度0.48 K和比辐射率2.1%的精度.地面实测数据结果表明：约77...
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| Published in | 红外与毫米波学报 Vol. 35; no. 5; pp. 617 - 624 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国科学院光电研究院中国科学院定量遥感信息技术重点实验室,北京 100094
2016
中国科学院大学,北京100049%中国科学院光电研究院中国科学院定量遥感信息技术重点实验室,北京,100094 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-9014 |
| DOI | 10.11972/j.issn.1001-9014.2016.05.017 |
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| Abstract | 地表温度和比辐射率的准确提取和反演是热红外遥感的核心问题之一.由于地表温度/比辐射率反演问题的病态性,以及地表—大气强耦合特征等诸多问题,导致目前反演精度仍有待进一步提高.通过深入挖掘大气吸收峰/谷通道处下行辐射偏移量特性,提出了一种基于大气吸收线特征的高光谱热红外温度/比辐射率反演方法,并通过最优通道选择提高了算法的效率和精度.算法一定程度上可抑制大气校正不准确引入的误差,能够有效提高低比辐射率地物的反演精度.模拟数据结果表明：针对高比辐射率地物,算法与ISSTES方法的反演精度基本一致;针对低比辐射率地物,算法最大可提高温度0.48 K和比辐射率2.1%的精度.地面实测数据结果表明：约77%的样本温度反演误差优于1K,比辐射率误差均值优于0.01. |
|---|---|
| AbstractList | 地表温度和比辐射率的准确提取和反演是热红外遥感的核心问题之一.由于地表温度/比辐射率反演问题的病态性,以及地表—大气强耦合特征等诸多问题,导致目前反演精度仍有待进一步提高.通过深入挖掘大气吸收峰/谷通道处下行辐射偏移量特性,提出了一种基于大气吸收线特征的高光谱热红外温度/比辐射率反演方法,并通过最优通道选择提高了算法的效率和精度.算法一定程度上可抑制大气校正不准确引入的误差,能够有效提高低比辐射率地物的反演精度.模拟数据结果表明：针对高比辐射率地物,算法与ISSTES方法的反演精度基本一致;针对低比辐射率地物,算法最大可提高温度0.48 K和比辐射率2.1%的精度.地面实测数据结果表明：约77%的样本温度反演误差优于1K,比辐射率误差均值优于0.01. P237; 地表温度和比辐射率的准确提取和反演是热红外遥感的核心问题之一.由于地表温度/比辐射率反演问题的病态性,以及地表—大气强耦合特征等诸多问题,导致目前反演精度仍有待进一步提高.通过深入挖掘大气吸收峰/谷通道处下行辐射偏移量特性,提出了一种基于大气吸收线特征的高光谱热红外温度/比辐射率反演方法,并通过最优通道选择提高了算法的效率和精度.算法一定程度上可抑制大气校正不准确引入的误差,能够有效提高低比辐射率地物的反演精度.模拟数据结果表明:针对高比辐射率地物,算法与ISSTES方法的反演精度基本一致;针对低比辐射率地物,算法最大可提高温度0.48 K和比辐射率2.1％的精度.地面实测数据结果表明:约77％的样本温度反演误差优于1K,比辐射率误差均值优于0.01. |
| Author | 陈梦说 钱永刚 王宁 马灵玲 李传荣 唐伶俐 |
| AuthorAffiliation | 中国科学院光电研究院中国科学院定量遥感信息技术重点实验室,北京100094 中国科学院大学,北京100049 |
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| Author_FL | CHEN Meng-Shuo MA Ling-Ling TANG Ling-Li QIAN Yong-Gang WANG Ning LI Chuan-Rong |
| Author_FL_xml | – sequence: 1 fullname: CHEN Meng-Shuo – sequence: 2 fullname: QIAN Yong-Gang – sequence: 3 fullname: WANG Ning – sequence: 4 fullname: MA Ling-Ling – sequence: 5 fullname: LI Chuan-Rong – sequence: 6 fullname: TANG Ling-Li |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.11972/j.issn.1001-9014.2016.05.017 |
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| DocumentTitleAlternate | A temperature and emissivity retrieval algorithm based on atmospheric absorption feature from hyperspectral thermal infrared data |
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| EndPage | 624 |
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| Keywords | 地表比辐射率 高光谱热红外数据 地表温度 hyperspectral thermal infrared data land surface temperature land surface emissivity |
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| Notes | CHEN Meng-Shuo1,2,QIAN Yong-Gang1,WANG Ning1,MA Ling-Ling1,LI Chuan-Rong1,TANG Ling-Li1 （ 1. Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China） hyperspectral thermal infrared data; land surface temperature; land surface emissivity 31-1577/TN Land surface temperature and emissivity separation（ TES） is a key problem in thermal infrared（ TIR） remote sensing. However,because of the ill-posed problem and the at-ground radiance＇s coupling with atmospheric radiance,the retrieval accuracy still needs to be improved. Through exploring the offset characteristic of atmospheric downward radiance,a temperature and emissivity retrieval algorithm based on atmospheric absorption feature was proposed from hyperspectral thermal infrared data by assuming that the land surface emissivity is equal between the adjacent channels. Furthermore,an optimal selection of cha |
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| PublicationTitle | 红外与毫米波学报 |
| PublicationTitleAlternate | Journal of Infrared and Millimeter Waves |
| PublicationTitle_FL | Journal of Infrared and Millimeter Waves |
| PublicationYear | 2016 |
| Publisher | 中国科学院光电研究院中国科学院定量遥感信息技术重点实验室,北京 100094 中国科学院大学,北京100049%中国科学院光电研究院中国科学院定量遥感信息技术重点实验室,北京,100094 |
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| SubjectTerms | 地表比辐射率 地表温度 高光谱热红外数据 |
| Title | 基于大气吸收线特征的高光谱热红外数据地表温度/比辐射率反演算法 |
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