Deep learning for pixel-level image fusion: Recent advances and future prospects
By integrating the information contained in multiple images of the same scene into one
composite image, pixel-level image fusion is recognized as having high significance in a …
composite image, pixel-level image fusion is recognized as having high significance in a …
A review of remote sensing image fusion methods
H Ghassemian - Information Fusion, 2016 - Elsevier
The recent years have been marked by continuous improvements of remote sensors with
applications like monitoring and management of the environment, precision agriculture …
applications like monitoring and management of the environment, precision agriculture …
Effective pan-sharpening by multiscale invertible neural network and heterogeneous task distilling
As recognized, the ground-truth multispectral (MS) images possess the complementary
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …
Pixel level fusion techniques for SAR and optical images: A review
SC Kulkarni, PP Rege - Information Fusion, 2020 - Elsevier
Image Fusion is a process of combining two or more images into a single image which is
more informative and hence more useful from an interpretation point of view. With the rapid …
more informative and hence more useful from an interpretation point of view. With the rapid …
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery
Pan-sharpening methods are commonly used to synthesize multispectral and panchromatic
images. Selecting an appropriate algorithm that maintains the spectral and spatial …
images. Selecting an appropriate algorithm that maintains the spectral and spatial …
Multi-fusion algorithms for detecting land surface pattern changes using multi-high spatial resolution images and remote sensing analysis
Abstract Producing accurate Land-Use and Land-Cover (LU/LC) maps using low-spatial-
resolution images is a difficult task. Pan-sharpening is crucial for estimating LU/LC patterns …
resolution images is a difficult task. Pan-sharpening is crucial for estimating LU/LC patterns …
[HTML][HTML] 多源遥感图像融合发展现状与未来展望
李树涛， 李聪妤， 康旭东 - 遥感学报, 2021 - ygxb.ac.cn
近年来, 随着遥感技术的发展, 高光谱, 红外, 雷达等多源遥感成像手段在精准农业, 资源调查,
环境监测, 军事国防等重要领域发挥着越来越重要的作用. 同一场景多源遥感图像观测的地物 …
环境监测, 军事国防等重要领域发挥着越来越重要的作用. 同一场景多源遥感图像观测的地物 …
From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
Pan-sharpening using an efficient bidirectional pyramid network
Y Zhang, C Liu, M Sun, Y Ou - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Pan-sharpening is an important preprocessing step for remote sensing image processing
tasks; it fuses a low-resolution multispectral image and a high-resolution (HR) panchromatic …
tasks; it fuses a low-resolution multispectral image and a high-resolution (HR) panchromatic …
Coupling model-and data-driven methods for remote sensing image restoration and fusion: Improving physical interpretability
In the fields of image restoration and image fusion, model-and data-driven methods are the
two representative frameworks. However, both approaches have their respective …
two representative frameworks. However, both approaches have their respective …