Results 141 to 150 of about 118,760 (177)

MDHANet: Rethinking HOG as a Prior in Dense Networks with Self-Attention for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Zhang H, Gui Y, Mou J, Lian C.
europepmc   +1 more source

Artificial intelligence with deep learning driven entropy-curvature attention mechanism for detection and segmentation of skin lesions using biomedical images. [PDF]

Sci Rep
Hasanin T, Almofarreh M, Alkahtani HK, Asiri MM, Nafie FM, Alahmadi M, Albshri A, Yahya AE.   +7 more
europepmc   +1 more source

Triple-attentions based salient object detector for strip steel surface defects. [PDF]

Sci Rep
Zhang L, Li X, Sun Y, Guo H.
europepmc   +1 more source

HHBSNet: a global channel-spatial attention and multi-scale dilated convolution network for automatic melasma segmentation. [PDF]

Front Physiol
Wang S, Xu L, Zhang L, Zhang Y, Li C, Grzegorzek M, Guo J, Jiang T.   +7 more
europepmc   +1 more source

Underwater image enhancement via multiscale disentanglement strategy. [PDF]

Sci Rep
Yan J, Hu H, Wang Y, Nawaz MW, Ur Rehman Junejo N, Guo E, Feng H.   +6 more
europepmc   +1 more source

Monitoring Progressive, Biologically Mediated Tendon Degeneration Using Quantitative Polarized Light Imaging. [PDF]

J Orthop Res
Iannucci LE, Lake SP.
europepmc   +1 more source

Unveiling the black box: Explainable transfer learning for ocular disorder diagnosis. [PDF]

Digit Health
Un Nisa Z, Jaffar A, Bhatti SM, Jaghdam IH, Mazhar T, Amir Khan M, Hamam H.   +6 more
europepmc   +1 more source

Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2019
In virtue of the spatial structural characteristic of surface materials, the performance of the hyperspectral image classification can be boosted by incorporating texture information. Normally, the spatial structure can be extracted by predefined operators, including the popular extended multiattribute profiles (EMAPs) and the Gabor filters.
Jiasong Zhu, Sen Jia
exaly   +5 more sources

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Fast Multiscale Superpixel Segmentation for SAR Imagery

IEEE Geoscience and Remote Sensing Letters, 2022
Deliang Xiang
exaly   +2 more sources

Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection

IEEE Geoscience and Remote Sensing Letters, 2022
Jointly exploiting spectral information and spatial information, rather than working on individual pixels, is important for hyperspectral target detection. In this letter, we propose a hyperspectral target detection method relying on superpixel structures of the input image.
Min Zhao
exaly   +2 more sources