Dr. Hao Zhang Profile

Dr. Hao Zhang

at Aerospace Information Research Institute CAS

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Author

Publications (8)

Proceedings Article | 13 December 2024 Paper

A method suitable for cross calibration of UAV hyperspectral remote sensors

Haiwei Li, Liyao Song, Shuang Wang, Hao Zhang, Wenjuan Zhang, Yi Zhao, Zhuo Huang

Proceedings Volume 13494, 134940C (2024) https://doi.org/10.1117/12.3048137

KEYWORDS: Calibration, Sensors, Unmanned aerial vehicles, Aerosols, Reflectivity, Single mode fibers, Hyperspectral imaging, Atmospheric particles, Imaging systems, Satellites

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High-precision radiometric calibration is the basis for quantitative applications of hyperspectral remote sensing. Cross-calibration facilitates the cross-comparison and radiation reference transfer between multi-source hyperspectral equipment and normalizes different remote sensors to a common radiometric baseline. In the collaborative use of different unmanned aerial vehicle (UAV) hyperspectral observations, cross-calibration helps to eliminate the differences in the radiometric and spectral scales of the multi-source remote sensors, improve the radiometric quality and interpretation consistency of the imaging from different remote sensors. However, a significant portion of the error in cross-calibration between UAV hyperspectral instruments using radiation transfer modeling comes from the assumption of aerosol type. When using the irradiance method for calculations, it is important to consider the case that the uplink radiation transfer from the UAV remote sensors passes through only a portion of the atmosphere. Therefore, cross-calibration is necessary to improve the radiation transfer model with its own characteristics. In this paper, we propose the cross-calibration method for UAV hyperspectral to address the above problems. A full set of data such as multi-gray level target images, atmospheric aerosol, water vapor content data, etc. are collected in our experiment. The method improves the traditional irradiance calibration method by combining the measured atmospheric diffuse-to-global ratio, and effectively reduces the error caused by the aerosol assumption by taking into account the special characteristics of the uplink radiation transmission path of the UAV. At the same time, considering that it is difficult to satisfy the need of cross-calibration of the whole response interval by using a single reflectance feature, the experiment adopts six kinds of targets with different gray levels for cross-calibration. Finally, the accuracy and impact of different response intervals are analyzed. The results demonstrate that the method proposed in this paper can ensure the cross-calibration accuracy more reliably, especially when the aerosol type is difficult to be determined, and it is very suitable for cross-radiometric calibration between UAV sensors.

Proceedings Article | 3 June 2024 Paper

Design and implementation of IDL-based batch processing for DMCIII aerial image reflectance retrieval

Fuxiao Zhu, Dongchuan Yan, Hao Zhang, Minghua Cheng, Yuan Yao, Xiangqiang Li

Proceedings Volume 13170, 131701F (2024) https://doi.org/10.1117/12.3032247

KEYWORDS: Image processing, Reflectivity, Atmospheric modeling, Image fusion, Image retrieval, Cameras, Sensors, Data conversion, Aerosols, Atmospheric corrections

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SPIE Journal Paper | 9 July 2020 Open Access

Atmospherically resistant vegetation water indices using the 970-nm water absorption feature

Quanjun Jiao, Liangyun Liu, Jiangui Liu, Hao Zhang, Bing Zhang

JARS, Vol. 14, Issue 03, 034504, (July 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.034504

KEYWORDS: Atmospheric corrections, Reflectivity, Vegetation, Absorption, Atmospheric modeling, Error analysis, Satellites, Data modeling, Computer simulations

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Proceedings Article | 9 October 2019 Paper

Preliminary validation of GF-1/GF-2 surface reflectance products over land using VNIR atmospheric correction method

Jiafei Xu, Zhengchao Chen, Hao Zhang, Bing Zhang, Tao Liu

Proceedings Volume 11152, 111521I (2019) https://doi.org/10.1117/12.2535792

KEYWORDS: Reflectivity, Atmospheric corrections, Satellites, Remote sensing, Satellite communications, Visible radiation, Data corrections

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Proceedings Article | 20 October 2015 Paper

Fault tolerance of SVM algorithm for hyperspectral image

Yabo Cui, Zhengwu Yuan, Yuanfeng Wu, Lianru Gao, Hao Zhang

Proceedings Volume 9646, 964610 (2015) https://doi.org/10.1117/12.2196704

KEYWORDS: Tolerancing, Hyperspectral imaging, Image classification, Image analysis, Image processing, Detection and tracking algorithms, Binary data, Error analysis, Digital image processing, Remote sensing

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Proceedings Article | 26 October 2013 Paper

Monitoring and assessment on radiometric stability of HJ-1A CCD using MODIS data

Guan-wen Chen, Zheng-chao Chen, Long Ma, Hao Zhang

Proceedings Volume 8921, 89211I (2013) https://doi.org/10.1117/12.2031517

KEYWORDS: Calibration, CCD cameras, Charge-coupled devices, CCD image sensors, Satellites, Sensors, MODIS, Reflectivity, Remote sensing, Atmospheric modeling

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Proceedings Article | 29 December 2008 Paper

A HJ-1 satellite imagery oriented software system for water environmental monitoring

Yuangfeng Wu, Bing Zhang, Junsheng Li, Hao Zhang, Qian Shen, Di Wu

Proceedings Volume 7285, 72854W (2008) https://doi.org/10.1117/12.816018

KEYWORDS: Environmental monitoring, Satellites, Remote sensing, Satellite imaging, Water, Cameras, Sensors, Earth observing sensors, Imaging systems, Infrared cameras

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Proceedings Article | 28 October 2006 Paper

Geometry simulation of HJ-1A satellite multi-spectral image

Hao Zhang, Bing Zhang, Zhengchao Chen

Proceedings Volume 6418, 64180E (2006) https://doi.org/10.1117/12.712592

KEYWORDS: Cameras, Satellites, Image processing, Charge-coupled devices, Sensors, Satellite imaging, Image sensors, Computer simulations, Cobalt, Photography

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Showing 5 of 8 publications

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