Results 1 to 10 of about 735,608 (236)
PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss
Remote Sensing, 2020 In the literature of pan-sharpening based on neural networks, high resolution multispectral images as ground-truth labels generally are unavailable. To tackle the issue, a common method is to degrade original images into a lower resolution space for ...
Rongrong Fei +2 more
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A Framelet-Based Iterative Pan-Sharpening Approach [PDF]
Remote Sensing, 2018 Pan-sharpening is used to fuse multispectral images and panchromatic images to produce a multispectral image with high spatial resolution. In this paper, we design a new iterative method based on framelet for pan-sharpening. The proposed model takes advantage of the upsampled multispectral image and a linear relation between the panchromatic image and ...
Ting-Zhu Huang +2 more
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The Effectiveness of Pan-Sharpening Algorithms on Different Land Cover Types in GeoEye-1 Satellite Images [PDF]
Journal of Imaging, 2023 In recent years, the demand for very high geometric resolution satellite images has increased significantly. The pan-sharpening techniques, which are part of the data fusion techniques, enable the increase in the geometric resolution of multispectral ...
Emanuele Alcaras, Claudio Parente
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A pan-sharpening network using multi-resolution transformer and two-stage feature fusion [PDF]
PeerJ Computer Science, 2023 Pan-sharpening is a fundamental and crucial task in the remote sensing image processing field, which generates a high-resolution multi-spectral image by fusing a low-resolution multi-spectral image and a high-resolution panchromatic image. Recently, deep
Wensheng Fan, Fan Liu, Jingzhi Li
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An IHS-Based Pan-Sharpening Method for Spectral Fidelity Improvement Using Ripplet Transform and Compressed Sensing [PDF]
Sensors, 2018 Pan-sharpening aims at integrating spectral information from a multi-spectral (MS) image and spatial information from a panchromatic (PAN) image in a fused image with both high spectral and spatial resolutions.
Chen Yang +3 more
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A Cross-Direction and Progressive Network for Pan-Sharpening [PDF]
Remote Sensing, 2021 In this paper, we propose a cross-direction and progressive network, termed CPNet, to solve the pan-sharpening problem. The full processing of information is the main characteristic of our model, which is reflected as follows: on the one hand, we process the source images in a cross-direction manner to obtain the source images of different scales as ...
Zhuliang Le, Han Xu
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Pan-Sharpening Based on CNN+ Pyramid Transformer by Using No-Reference Loss
Remote Sensing, 2022 The majority of existing deep learning pan-sharpening methods often use simulated degraded reference data due to the missing of real fusion labels which affects the fusion performance. The normally used convolutional neural network (CNN) can only extract
Huadong Guo
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Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening
Remote Sensing, 2023 Based on deep learning, various pan-sharpening models have achieved excellent results. However, most of them adopt simple addition or concatenation operations to merge the information of low spatial resolution multi-spectral (LRMS) images and ...
Rongrong Fei +2 more
exaly +3 more sources
Non-perturbative cathodoluminescence microscopy of beam-sensitive materials [PDF]
NanophotonicsCathodoluminescence microscopy is now a well-established and powerful tool for probing the photonic properties of nanoscale materials, but in many cases, nanophotonic materials are easily damaged by the electron-beam doses necessary to achieve reasonable
Bogroff Malcolm +11 more
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Joint AIHS and Particle Swarm Optimization for Pan-sharpening [PDF]
Journal of Geodesy and Geoinformation Science, 2020 Pan-sharpening is a process of obtaining a high spatial and spectral multispectral image (HMS) by combining a low-resolution multispectral image (LMS) with a high-resolution panchromatic image (PAN). In this paper, a pan-sharpening method called PAIHS is
Yingxia CHEN,Yan CHEN,Cong LIU
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