Results 31 to 40 of about 735,608 (236)
Dictionary learning based pan-sharpening [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 Pan-sharpening is an image fusion process in which high resolution (HR) panchromatic (Pan) imagery is used to sharpen the corresponding low resolution (LR) multi-spectral (MS) imagery. Pan-sharpened MS images generally have high spatial resolutions, but exhibit color distortions.
Dehong Liu, Petros T. Boufounos
openaire +1 more source
Convolutional LSTM-Based Hierarchical Feature Fusion for Multispectral Pan-Sharpening [PDF]
, 2022 Multispectral (MS) pan-sharpening aims at producing high-resolution (HR) MS images in both spatial and spectral domains, by merging single-band panchromatic (PAN) images and corresponding MS images with low spatial resolution.
Shen, Qiang +5 more
core +1 more source
Swin–MRDB: Pan-Sharpening Model Based on the Swin Transformer and Multi-Scale CNN
Applied Sciences, 2023 Pan-sharpening aims to create high-resolution spectrum images by fusing low-resolution hyperspectral (HS) images with high-resolution panchromatic (PAN) images. Inspired by the Swin transformer used in image classification tasks, this research constructs
Zifan Rong +3 more
doaj +1 more source
PanFormer: A Transformer Based Model for Pan-Sharpening
2022 IEEE International Conference on Multimedia and Expo (ICME), 2022 Accepted by ICME ...
Huanyu Zhou +2 more
openaire +4 more sources
A Remote-Sensing Image Pan-Sharpening Method Based on Multi-Scale Channel Attention Residual Network
IEEE Access, 2020 Pan-sharpening is a significant task that aims to generate high spectral- and spatial- resolution remote-sensing image by fusing multi-spectral (MS) and panchromatic (PAN) image.
Xin Li +6 more
doaj +1 more source
Quality assessment of pan-sharpening methods [PDF]
2014 IEEE Geoscience and Remote Sensing Symposium, 2014 The quality of pan-sharpened image is usually quantified separately by various spectral and spatial quality measures mostly originating from image processing. This quantity and diversity of quality measures makes it quite difficult to rank different image fusion methods.
openaire +2 more sources
Using Convolutional Sparse Representation and Discrete Wavelet Decomposition for Satellite Image Pan-sharpening [PDF]
Journal of Electrical and Computer Engineering Innovations, 2019 Background and Objectives: High resolution multi-spectral (HRMS) images are essential for most of the practical remote sensing applications. Pan-sharpening is an effective mechanism to produce HRMS image by integrating the significant structural details ...
A. Sharifi
doaj +1 more source
A CRITICAL REVIEW OF QUALITY ASSESSMENT PROTOCOLS IN PAN-SHARPENING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Although vast amounts of pan-sharpening methods have been proposed to date, there has been relatively little published on the topic of qualitative and quantitative assessment of the pan-sharpened multispectral (MS) data. Since a high resolution reference
S. Aghapour Maleki, H. Ghassemian
doaj +1 more source
Pan-Sharpening Based on Convolutional Neural Network by Using the Loss Function With No-Reference
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In order to preserve the spatial and spectral information of the original panchromatic and multispectral images, this article designs a loss function suitable for pan-sharpening and a four-layer convolutional neural network that could adequately extract ...
Zhangxi Xiong +3 more
doaj +1 more source
A Review of Image Fusion Algorithms Based on the Super-Resolution Paradigm
Remote Sensing, 2016 A critical analysis of remote sensing image fusion methods based on the super-resolution (SR) paradigm is presented in this paper. Very recent algorithms have been selected among the pioneering studies adopting a new methodology and the most promising ...
Andrea Garzelli
doaj +1 more source