Review of pixel-level remote sensing image fusion based on deep learning

Z Wang, Y Ma, Y Zhang - Information Fusion, 2023 - Elsevier
The booming development of remote sensing images in many visual tasks has led to an
increasing demand for obtaining images with more precise details. However, it is impractical …
被引用次数：66 相关文章 所有 4 个版本

Typical lake area is accurately predicted and assessed based on deep learning algorithms and associated physical mechanisms

Y Chen, Y Dong, Y Sun, C He - Earth Science Informatics, 2024 - Springer
Accurate quantification of lake areas is pivotal for understanding regional hydrological
cycles and conserving wetlands. Existing methodologies, including remote sensing …
相关文章 所有 2 个版本

Nonlinear pansharpening for electric vehicle detection in remote sensing

K Zhang, ML Niu, X Zhu - Signal, Image and Video Processing, 2022 - Springer
In this paper, a novel improvement applies to the Band-Dependent Spatial Detail (BDSD)
fusion structure to enhance the detection procedure of electric vehicle location. The …
被引用次数：5 相关文章
[PDF] degruyter.com

RES-KELM fusion model based on non-iterative deterministic learning classifier for classification of Covid19 chest X-ray images

A Husain, VP Vishvakarma - Journal of Intelligent Systems, 2023 - degruyter.com
In this research, a novel real time approach has been proposed for detection and analysis of
Covid19 using chest X-ray images based on a non-iterative deterministic classifier, kernel …
被引用次数：2 相关文章 所有 3 个版本

MMCMOO: A Novel Multispectral Pansharpening Method

Y Chen, Y Xu - Mathematics, 2024 - search.proquest.com
From the perspective of optimization, most of the current mainstream remote sensing data
fusion methods are based on traditional mathematical optimization or single objective …
相关文章 所有 5 个版本