Residual Dense Autoencoder Network for Nonlinear Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3188565
Abstract: Hyperspectral unmixing is a popular research topic in hyperspectral processing, aiming at obtaining the ground features contained in the mixed pixels and their proportion. Recently, nonlinear mixing models have received particular attention in hyperspectral decomposition… read more here.
Keywords: dense autoencoder; hyperspectral unmixing; autoencoder network; residual dense ... See more keywords
GCRDN: Global Context-Driven Residual Dense Network for Remote Sensing Image Superresolution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3273081
Abstract: Superresolution (SR) of remote sensing images aims to restore high-quality information from low-resolution images. Recently, it has witnessed great strides with the rapid development of deep learning (DL) techniques. Despite their good performance, these DL-based… read more here.
Keywords: dense network; remote sensing; image; residual dense ... See more keywords
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3049875
Abstract: Although unprecedented success has been achieved in convolutional neural network (CNN)-based super-resolution (SR) for natural images, hyperspectral image (HSI) SR without auxiliary high-resolution images remains a challenging task due to the high spectral dimensionality, where… read more here.
Keywords: resolution; attention; spectral grouping; residual dense ... See more keywords
MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3106764
Abstract: Synthetic aperture radar (SAR), due to its inherent characteristics, will produce speckle noise, which results in the deterioration of image quality, so the removal of speckle in SAR image is very important for the subsequent… read more here.
Keywords: image; dense dual; dual attention; attention ... See more keywords
Lightweight Interleaved Residual Dense Network for Gas Identification of Industrial Polypropylene Coupled With an Electronic Nose
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3117377
Abstract: Polypropylene (PP) is one of the raw materials to produce automotive interior parts. Under the high-temperature condition, the volatile gas of PP will have a pungent odor. Therefore, an effective gas detection method should be… read more here.
Keywords: gas; residual dense; lightweight interleaved; dense network ... See more keywords
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2021.3066318
Abstract: Limited view tomographic reconstruction aims to reconstruct a tomographic image from a limited number of projection views arising from sparse view or limited angle acquisitions that reduce radiation dose or shorten scanning time. However, such… read more here.
Keywords: reconstruction; limited view; view; dense spatial ... See more keywords
Development of Novel Residual-Dense-Attention (RDA) U-Net Network Architecture for Hepatocellular Carcinoma Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12081916
Abstract: The research was based on the image recognition technology of artificial intelligence, which is expected to assist physicians in making correct decisions through deep learning. The liver dataset used in this study was derived from… read more here.
Keywords: dense attention; attention rda; dense; residual dense ... See more keywords