A Registration-Error-Resistant Swath Reconstruction Method of ZY1-02D Satellite Hyperspectral Data Using SRE-ResNet

Peng, Man; Li, Guoyuan; Zhou, Xiaoqing; Ma, Chen; Zhang, Lifu; Zhang, Xia; Shang, Ke

doi:10.3390/rs14225890

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…Due to a problem with the detection element of the ZY1-02D AHSI sensor, bad line and striping effect are in the bands, which makes it unable to characterize the spectral features in these bands [43] .…”

Section: Laboratory Spectra Pre-processingmentioning

confidence: 99%

Hydromagnesite determination method based on Landsat8 and ZY1-02D data: A case study of the Jiezechaka Salt Lake in Tibet

Zhao,

Dai,

Zhao

et al. 2023

Preprint

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Hydromagnesite is a natural carbonate mineral that is widely distributed, but large sedimentary hydromagnesite deposits with industrial exploitation value are rare globally. In China, hydromagnesite is mainly distributed in the salt lake area of Qinghai-Tibet Plateau. Because of the harsh environment, it is difficult to use the traditional method to search for ore. Remote sensing technology has been successfully applied to research skarn, pegmatite lithium-beryllium, porphyry-epithermal, salt lake lithium, magmatic nickel-chromium, and orogenic gold deposits; however, research regarding remote sensing determination of hydromagnesite from salt lakes is lacking. We determined the mineral composition and content of hydromagnesite samples in the Jiezechaka area by X-ray diffraction (XRD), and the reflection spectral curve of the hydromagnesite samples was measured using an ASD FieldSpec4 short-wave infrared spectrometer. The analysis indicated three and seven absorption valleys with high and low absorption intensities, respectively, in the reflectance spectral curves of the hydromagnesite samples in the Jiezechaka area. Then, on this basis, we used Landsat8 OLI and ZY1-02D AHSI data, with the mixture tuned matched filtering (MTMF) method to extract hydromagnesite information around Jiezechaka Salt Lake in Tibet. A confusion matrix operation was used to compare the determination results of the two types of data. Among them, the overall accuracy of the extraction results based on Landsat8 data was > 67%, and the kappa coefficient was 0.668. The overall accuracy of the extraction results based on ZY1-02D data was > 72%, and the kappa coefficient was 0.743. Finally, using overlay analysis of the two kinds of data determination results, we concluded that hydromagnesite outcrops in the Jiezechaka area are mainly distributed in the northwestern and southeastern regions of the lake. This study provides a rapid assessment technique for measuring hydromagnesite information from salt lakes.

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Section: Laboratory Spectra Pre-processingmentioning

confidence: 99%

Hydromagnesite determination method based on Landsat8 and ZY1-02D data: A case study of the Jiezechaka Salt Lake in Tibet

Zhao,

Dai,

Zhao

et al. 2023

Preprint

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Real-Time Registration of Unmanned Aerial Vehicle Hyperspectral Remote Sensing Images Using an Acousto-Optic Tunable Filter Spectrometer

Liu,

Hu,

Hou

et al. 2024

Drones

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Differences in field of view may occur during unmanned aerial remote sensing imaging applications with acousto-optic tunable filter (AOTF) spectral imagers using zoom lenses. These differences may stem from image size deformation caused by the zoom lens, image drift caused by AOTF wavelength switching, and drone platform jitter. However, they can be addressed using hyperspectral image registration. This article proposes a new coarse-to-fine remote sensing image registration framework based on feature and optical flow theory, comparing its performance with that of existing registration algorithms using the same dataset. The proposed method increases the structure similarity index by 5.2 times, reduces the root mean square error by 3.1 times, and increases the mutual information by 1.9 times. To meet the real-time processing requirements of the AOTF spectrometer in remote sensing, a development environment using VS2023+CUDA+OPENCV was established to improve the demons registration algorithm. The registration algorithm for the central processing unit+graphics processing unit (CPU+GPU) achieved an acceleration ratio of ~30 times compared to that of a CPU alone. Finally, the real-time registration effect of spectral data during flight was verified. The proposed method demonstrates that AOTF hyperspectral imagers can be used in real-time remote sensing applications on unmanned aerial vehicles.

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A Registration-Error-Resistant Swath Reconstruction Method of ZY1-02D Satellite Hyperspectral Data Using SRE-ResNet

Cited by 2 publications

References 34 publications

Hydromagnesite determination method based on Landsat8 and ZY1-02D data: A case study of the Jiezechaka Salt Lake in Tibet

Hydromagnesite determination method based on Landsat8 and ZY1-02D data: A case study of the Jiezechaka Salt Lake in Tibet

Real-Time Registration of Unmanned Aerial Vehicle Hyperspectral Remote Sensing Images Using an Acousto-Optic Tunable Filter Spectrometer

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