imagefusiontechniquesinremotesensing

15 - Image fusion techniques for non-destructive testing and remote sensing applications. F.C. Morabito, G. Simone and M. Cacciola. Pages 367-392. Select 16 ...

由 L Fonseca 著作 · 2011 · 被引用 167 次 — Below, we present the basic theoryof the fusion methods based on IHS, PCA, arithmetic operators, and Wavelet Transform(WT), which are the most traditional ...

2020年7月26日 — Multi-source remote sensing imaging is generally the fusion of images sensed by satellite sensors, including multispectral, multitemporal, ...

Multi-sensor image fusion techniques combine two or more geometrically registered images of the same scene into a single image that is more easily interpreted ...

由 G Simone 著作 · 2002 · 被引用 549 次 — Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many ...

由 R Gharbia 著作 · 2014 · 被引用 27 次 — Abstract- Remote sensing image fusion is an effective way to use a large volume of data from multisensor images. Most earth satellites such as SPOT, Landsat 7,.

由 H Kaur 著作 · 2021 · 被引用 184 次 — Commonly used deep learning models in image fusion are Convolutional Neural Network (CNN), Convolutional Sparse Representation (CSR) and Stacked ...

由 H Kaur 著作 · 2021 · 被引用 184 次 — It is a very straightforward technique to combine the images features and provides a high spatial quality image. In remote sensing images it ...

由 M Ehlers 著作 · 1991 · 被引用 383 次 — It is essential that efficient processing techniques be developed to cope with the large multisensor data volumes. This paper discusses data fusion techniques ...

由 R Gharbia 著作 · 2014 · 被引用 27 次 — This paper explores the major remote sensing data fusion techniques at pixel level and reviews the concept, principals, limitations and ...