Results 21 to 30 of about 203,054 (269)
Remote Sensing, 2021 Satellite infrared hyperspectral instruments can obtain a wealth of atmospheric spectrum information. In order to obtain high-precision atmospheric temperature and humidity profiles, we used the traditional One-Dimensional Variational (1D-Var) retrieval ...
Chunming Zhang +7 more
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Shielding Grounding Optimization Method for Spaceborne Multi-Cable
Applied Sciences, 2023 The coupling relationship between space electronics systems is complex, and the signals of optoelectronic load cables are susceptible to interference, especially the early anomalous weak signals on a ground surface used for immediate remote sensing ...
Zhentao Gong +7 more
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A Neural Network for Hyperspectral Image Denoising by Combining Spatial–Spectral Information
Remote Sensing, 2023 Hyperspectral imaging often suffers from various types of noise, including sensor non-uniformity and atmospheric disturbances. Removing multiple types of complex noise in hyperspectral images (HSIs) while preserving high fidelity in spectral dimensions ...
Xiaoying Lian +6 more
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Statistics of Infrared Images [PDF]
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007 The proliferation of low-cost infrared cameras gives us a new angle for attacking many unsolved vision problems by leveraging a larger range of the electromagnetic spectrum. A first step to utilizing these images is to explore the statistics of infrared images and compare them to the corresponding statistics in the visible spectrum.
Nigel J. W. Morris +3 more
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Applied Sciences, 2023 The performance of long-wave infrared (LWIR) quantum well (QWIP) detection systems is seriously affected by the dark current of the detectors. Tiny variations in the focal-plane temperature of the devices cause fluctuations in the dark current, which in ...
Haoting Du +6 more
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Multi-Input Attention Network for Dehazing of Remote Sensing Images
Applied Sciences, 2022 The non-uniform haze distribution in remote sensing images, together with the complexity of the ground information, brings many difficulties to the dehazing of remote sensing images.
Zhijie He +4 more
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Remote Sensing Image Dehazing Based on an Attention Convolutional Neural Network
IEEE Access, 2022 Haze may affect the quality of optical remote sensing images, thus limiting the scope of their application. Remote sensing image dehazing has become important in remote sensing image preprocessing, promoting the use of remote sensing data and the ...
Zhijie He, Cailan Gong, Yong Hu, Lan Li
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Sensors, 2023 Infrared linear array detectors frequently experience vertical, low-frequency, and periodic stripe noise during imaging, stemming from electro-mechanical interference.
Weicong Chen, Bohan Li
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Sensors, 2023 The wide-spectrum integrated imaging method can simultaneously obtain the spectral information of different spectral bands of the same target, which is conducive to the realization of the high-precision detection of target characteristics, and can ...
Haiwei Jiang, Xinhua Niu
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Photonics, 2022 As the loading space in rockets and mirror fabrication technology is limited, optical systems in space cannot have large optical apertures. However, the successful launch and excellent performance of the James Webb Telescope indicate that segmented ...
Rongjie Qin +3 more
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