Results 321 to 330 of about 6,292,229 (390)

Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser

IEEE Transactions on Neural Networks and Learning Systems, 2020
Hyperspectral image (HSI) and multispectral image (MSI) fusion, which fuses a low-spatial-resolution HSI (LR-HSI) with a higher resolution multispectral image (MSI), has become a common scheme to obtain high-resolution HSI (HR-HSI). This article presents
Renwei Dian, Shutao Li, Xudong Kang
semanticscholar   +1 more source

Multispectral imaging axicons

Applied Optics, 2011
Large-aperture linear diffractive axicons are optical devices providing achromatic nondiffracting beams with an extended depth of focus when illuminated by white light sources. Annular apertures introduce chromatic foci separation, making chromatic imaging possible despite important radiometric losses.
Emilie, Bialic, Jean-Louis de Bougrenet, de la Tocnaye   +1 more
openaire   +2 more sources

FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion

IEEE Transactions on Image Processing, 2020
Due to hardware limitations of the imaging sensors, it is challenging to acquire images of high resolution in both spatial and spectral domains. Fusing a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to ...
Zhengjue Wang, Bo Chen, Ruiying Lu, Haotong Zhang, Hongwei Liu, P. Varshney   +5 more
semanticscholar   +1 more source

HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss

IEEE Transactions on Geoscience and Remote Sensing, 2020
The fusion of hyperspectral image (HSI) and multispectral image (MSI) is one of the most significant topics in remote sensing image processing. Recently, deep learning (DL) has emerged as an important tool for this task.
Shuang Xu, Ouafa Amira, Junmin Liu, Chunxia Zhang, Jiangshe Zhang, Guanghai Li   +5 more
semanticscholar   +1 more source

Multispectral Remote Sensing Image Matching via Image Transfer by Regularized Conditional Generative Adversarial Networks and Local Feature

IEEE Geoscience and Remote Sensing Letters, 2021
Multispectral image matching is at the base for many remote sensing and computer vision applications. Due to the different imaging principles and spectra, there are significant nonlinear variations in intensity, texture, and style in multispectral images.
Tao Ma, Jie Ma, Kun Yu, Jun Zhang, Wenxing Fu   +4 more
semanticscholar   +1 more source

Unsupervised Hybrid Network of Transformer and CNN for Blind Hyperspectral and Multispectral Image Fusion

IEEE Transactions on Geoscience and Remote Sensing
Fusing a low spatial resolution hyperspectral image (LR-HIS) with a high spatial resolution multispectral image has become popular for generating a high spatial resolution hyperspectral image (HR-HSI). Most methods assume that the degradation information
Xuheng Cao, Yusheng Lian, Kaixuan Wang, Chao Ma, Xianqing Xu   +4 more
semanticscholar   +1 more source

Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation

IEEE Transactions on Geoscience and Remote Sensing, 2020
This article addresses the problem of semantic segmentation with limited cross-modality data in large-scale urban scenes. Most prior works have attempted to address this issue by using multimodal deep neural networks (DNNs).
D. Hong, Jing Yao, Deyu Meng, Zongben Xu, J. Chanussot   +4 more
semanticscholar   +1 more source

Unsupervised Hyperspectral and Multispectral Image Fusion With Deep Spectral-Spatial Collaborative Constraint

IEEE Transactions on Geoscience and Remote Sensing
The most cost-effective way to obtain a high spatial resolution hyperspectral image (HrHSI) is to fuse a low spatial resolution hyperspectral image (LrHSI) and corresponding high spatial resolution multispectral image (HrMSI).
Haoyang Yu, Zhixin Ling, Ke Zheng, Lianru Gao, Jiaxin Li, Jocelyn Chanussot   +5 more
semanticscholar   +1 more source

MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Multispectral and hyperspectral image fusion (MS/HS fusion) aims to fuse a high-resolution multispectral (HrMS) and a low-resolution hyperspectral (LrHS) images to generate a high-resolution hyperspectral (HrHS) image, which has become one of the most ...
Qi Xie, Minghao Zhou, Qian Zhao, Zongben Xu, Deyu Meng   +4 more
semanticscholar   +1 more source

Deep multispectral image registration network

Computerized Medical Imaging and Graphics, 2021
Multispectral imaging (MSI) of the ocular fundus provides a sequence of narrow-band images to show the different depths in the retina and choroid. One challenge in analyzing MSI images comes from the image-to-image spatial misalignment, which occurs because the acquisition time of eye MSI images is commonly longer than the natural time scale of the eye'
Xiaodan Sui, Yuanjie Zheng, Yanyun Jiang, Wanzhen Jiao, Yanhui Ding   +4 more
openaire   +2 more sources