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A ppb-level online detection system for gas concentrations in CS2/SO2 mixtures based on UV-DOAS combined with VMD-CNN-TL model
Carbon disulfide (CS 2) and sulfur dioxide (SO 2) are the main decomposition products of
sulfur hexafluoride (SF 6). Detecting the concentrations of these products plays a key role in …
sulfur hexafluoride (SF 6). Detecting the concentrations of these products plays a key role in …
Spectral response function-guided deep optimization-driven network for spectral super-resolution
Hyperspectral images (HSIs) are crucial for many research works. Spectral super-resolution
(SSR) is a method used to obtain high-spatial-resolution (HR) HSIs from HR multispectral …
(SSR) is a method used to obtain high-spatial-resolution (HR) HSIs from HR multispectral …
Image Fusion in Remote Sensing: An Overview and Meta-Analysis
Remote sensing image fusion is consistently used to turn raw images of different resolutions,
sources, and modalities into accurate, complete, and spatiotemporally coherent images. It …
sources, and modalities into accurate, complete, and spatiotemporally coherent images. It …
Diverse hyperspectral remote sensing image synthesis with diffusion models
Hyperspectral image (HSI) synthesis overcomes the limitations of imaging sensors and
enables low-cost acquisition of HSIs with high spatial resolution. Using RGB as a conditional …
enables low-cost acquisition of HSIs with high spatial resolution. Using RGB as a conditional …
Implicit neural representation learning for hyperspectral image super-resolution
Hyperspectral image (HSI) super-resolution (SR) without additional auxiliary image remains
a constant challenge due to its high-dimensional spectral patterns, where learning an …
a constant challenge due to its high-dimensional spectral patterns, where learning an …
[HTML][HTML] Mangrove extraction from super-resolution images generated by deep learning models
Mangroves are an essential component of coastal ecosystems. Accurate and effective
identification and extraction of mangrove areas from remote sensing imagery is crucial for …
identification and extraction of mangrove areas from remote sensing imagery is crucial for …
[HTML][HTML] Automated map** of bedrock-fracture traces from UAV-acquired images using U-Net convolutional neural networks
This contribution presents a novel U-Net convolutional neural network (CNN)-based
workflow for automated map** of bedrock fracture traces from 0.55 cm spatial resolution …
workflow for automated map** of bedrock fracture traces from 0.55 cm spatial resolution …
Physics-informed hyperspectral remote sensing image synthesis with deep conditional generative adversarial networks
High-resolution hyperspectral remote sensing images are of great significance to
agricultural, urban, and military applications. However, collecting and labeling hyperspectral …
agricultural, urban, and military applications. However, collecting and labeling hyperspectral …
An anti-steganalysis HEVC video steganography with high performance based on CNN and PU partition modes
The steganography research of videos leads to excellent communication methods for
transmitting secret message, and high efficiency video coding (HEVC) video is one popular …
transmitting secret message, and high efficiency video coding (HEVC) video is one popular …
Grape leaf black rot detection based on super-resolution image enhancement and deep learning
J Zhu, M Cheng, Q Wang, H Yuan, Z Cai - Frontiers in plant science, 2021 - frontiersin.org
The disease spots on the grape leaves can be detected by using the image processing and
deep learning methods. However, the accuracy and efficiency of the detection are still the …
deep learning methods. However, the accuracy and efficiency of the detection are still the …