Radiometric cross-calibration of GF-4 satellite PMS sensor considering the characteristics of multiple integration times

被引：0
|
作者：
Han J. [1 ]
Tao Z. [2 ]
Xie Y. [3 ]
Liu Q. [2 ]
Shi H. [1 ]
机构：
[1] School of Urban and Environment Sciences, Xuchang University, Xuchang
[2] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing
[3] School of Geography and Remote Sensing, Nanjing University of Information Science & Technology, Nanjing
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2020年 / 49卷 / 10期
基金：
中国国家自然科学基金;
关键词：
BRDF; GF-4; Multiple integration times; Radiometric block adjustment; SBAF;
D O I：
10.11947/j.AGCS.2020.20200057
中图分类号：
学科分类号：
摘要：
Integrating the five integration times characteristics of GF-4 satellite PMS sensor,a radiometric cross-calibration method based on the radiometric block adjustment is proposed. Taking Dunhuang radiometric calibration sites (DRCS) in China as the radiometric transfer platform. Firstly, collecting the valid time-series MODIS images over DRCS to build the BRDF model. Secondly, considering the SBAF and BRDF, the radiometric control points (RCPs) are extracted from the image pairs of Landsat-8 OLI and PMS over DRCS. Thirdly, after setting the restrictive conditions of DN and CV, the radiometric tie points (RTPs) are extracted from PMS images in different integration times under the stare imaging condition. Finally, the radiometric cross-calibration coefficients of five integration times are solved based on the proposed method. The validation results show that the average absolute calibration relative errors of five integration times are all less than 5.18% and the relative radiometric correction errors of five integration times reduce up to 36.64%. Meanwhile, the influences of the RCPs distribution, the restrictive conditions in the process of RTPs extraction, SBAF and BRDF on the calibration results are discussed, which is beneficial to further optimize the radiometric cross-calibration program of PMS. © 2020, Surveying and Mapping Press. All right reserved.
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页码：1311 / 1320
页数：9
相关论文
共 25 条
  • [1] WANG Dianzhong, HE Hongyan, Observation capability and application prospect of GF-4 satellite, Spacecraft Recovery & Remote Sensing, 38, 1, pp. 98-106, (2017)
  • [2] JING Feng, XU Yueren, ZHANG Xiaoyong, Et al., Potential application in earthquake research using data from GF-4 satellite, Spacecraft Recovery & Remote Sensing, 37, 4, pp. 110-115, (2016)
  • [3] SONG Ting, GONG Shaoqi, LIU Junzhi, Et al., Performance assessment of atmospheric correction for multispectral data of GF-4 on inland case Ⅱ turbid water, Spectroscopy and Spectral Analysis, 38, 4, pp. 1191-1197, (2018)
  • [4] NIE Juan, DENG Lei, HAO Xianglei, Et al., Application of GF-4 satellite in drought remote sensing monitoring: a case study of Southeastern Inner Mongolia, Journal of Remote Sensing, 22, 3, pp. 400-407, (2018)
  • [5] ZHANG Tianyuan, REN Huazhong, QIN Qiming, Et al., Snow cover monitoring with Chinese Gaofen-4 PMS imagery and the restored snow index (RSI) method: case studies, Remote Sensing, 10, 12, (2018)
  • [6] HAN Jie, XIE Yong, On-orbit radiometric calibration method of spaceborne multi-camera mosaic imaging sensor, Acta Geodaetica et Cartographica Sinica, 46, 11, pp. 1830-1840, (2017)
  • [7] GAO Hailiang, GU Xingfa, YU Tao, Et al., Time-series calibration for CCD camera: taking CBERS02B satellite as an example, Acta Geodaetica et Cartographica Sinica, 40, 2, pp. 180-187, (2011)
  • [8] LI Juan, FENG Lian, PANG Xiaoping, Comparison of the cross-calibration methods between image-based and RTM-BRDF for GF-1 images, Acta Geodaetica et Cartographica Sinica, 46, 7, pp. 882-890, (2017)
  • [9] LIU Qiyue, YU Tao, GAO Hailiang, Radiometric cross-calibration of GF-1 PMS sensor with a new BRDF model, Remote Sensing, 11, 6, (2019)
  • [10] LIU L, GAO H L, PAN Z Q, Et al., Satellite-based time series calibration of GF-1 WFV sensors for large view zenith angle observations, International Journal of Remote Sensing, 39, 22, pp. 1-24, (2018)
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