Dr. Haiwei Li Profile

Dr. Haiwei Li

at XIOPM CAS

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Author

Publications (5)

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.

SPIE Journal Paper | 26 October 2022

Microstress bonding design of low-distortion mirror assembly

Lijun Sun, Weichao Wu, Wencong Chen, Siyuan Li, Zhaohui Zhang, Haiwei Li

OE, Vol. 61, Issue 10, 105109, (October 2022) https://doi.org/10.1117/12.10.1117/1.OE.61.10.105109

KEYWORDS: Mirrors, Adhesives, Optical engineering, Shape analysis, Stress analysis, Optical fabrication, Glasses, Finite element methods, Precision measurement, Mirror structures

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SPIE Journal Paper | 21 January 2022

Spatial weighted kernel spectral angle constraint method for hyperspectral change detection

Song Liu, Liyao Song, Haiwei Li, Junyu Chen, Geng Zhang, Bingliang Hu, Shuang Wang, Siyuan Li

JARS, Vol. 16, Issue 01, 016503, (January 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.016503

KEYWORDS: Hyperspectral imaging, Matrices, Single crystal X-ray diffraction, Signal to noise ratio, Principal component analysis, Spatial resolution, Spatial filters, Sensors, Remote sensing, Reflectivity

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Proceedings Article | 18 December 2019 Paper

KCCA-based radiation normalization method for hyperspectral remote sensing Images

Haiwei Li, Liyao Song, Qiangqiang Yan, Tieqiao Chen

Proceedings Volume 11338, 113383E (2019) https://doi.org/10.1117/12.2548069

KEYWORDS: Hyperspectral imaging, Remote sensing, Canonical correlation analysis, Radiation effects, Simulation of CCA and DLA aggregates, Sensors, Atmospheric sensing, Feature extraction, Atmospheric monitoring, Target recognition

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Proceedings Article | 12 March 2019 Paper

Camouflage target detection based on short-wave infrared hyperspectral images

Qiangqiang Yan, Haiwei Li, Yinhua Wu, Xiaorong Zhang, Shuang Wang, Qiang Zhang

Proceedings Volume 11023, 110232M (2019) https://doi.org/10.1117/12.2521361

KEYWORDS: Camouflage, Target detection, Infrared imaging, Target recognition, Short wave infrared radiation, Detection and tracking algorithms, Hyperspectral imaging

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