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Multi-resolution Image Fusion Using Multi-scale Estimation Framework

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Release : 2010
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Kind : eBook
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Book Synopsis Multi-resolution Image Fusion Using Multi-scale Estimation Framework by : Hojin Jhee

Download or read book Multi-resolution Image Fusion Using Multi-scale Estimation Framework written by Hojin Jhee. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: Recently, we have been experiencing remarkable advance in remote sensing technology and it allows us to capture large classes of natural processes and phenomenon at different resolutions with confident levels of qualities. For example, data acquisition over specific topographic environment by employing high spatial resolution sensor is extremely useful in monitoring detail physical and biological processes of the Earth's surface. As data acquisition techniques become sophisticated using more accurate sensing devices, the demands for processing obtained data sets are more diverse and complex.

Multi-resolution Image Fusion in Remote Sensing

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Release : 2019-01-24
Genre : Computers
Kind : eBook
Book Rating : 124/5 ( reviews)

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Book Synopsis Multi-resolution Image Fusion in Remote Sensing by : Manjunath V. Joshi

Download or read book Multi-resolution Image Fusion in Remote Sensing written by Manjunath V. Joshi. This book was released on 2019-01-24. Available in PDF, EPUB and Kindle. Book excerpt: Written using clear and accessible language, this useful guide discusses fundamental concepts and practices of multi-resolution image fusion.

Investigations of Image Fusion

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Release : 1999
Genre : Image processing
Kind : eBook
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Book Synopsis Investigations of Image Fusion by : Zhong Zhang

Download or read book Investigations of Image Fusion written by Zhong Zhang. This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt: The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a single image which is more suitable for the purpose of human visual perception or further image processing tasks. In this thesis, a region-based fusion algorithm using the wavelet transform is proposed. The identification of important features in each image, such as edges and regions of interest, are used to guide the fusion process. The idea of multiscale grouping is also introduced and a generic image fusion framework based on multiscale decomposition is studied. The framework includes all of the existing multiscale-decomposition-based fusion approaches we found in the literature which did not assume a statistical model for the source images. Comparisons indicate that our framework includes some new approaches which outperform the existing approaches for the cases we consider. Registration must precede our fusion algorithms. So we proposed a hybrid scheme which uses both feature-based and intensity-based methods. The idea of robust estimation of optical flow from time-varying images is employed with a coarse-to-fine multi-resolution approach and feature-based registration to overcome some of the limitations of the intensity-based schemes. Experiments show that this approach is robust and efficient. Assessing image fusion performance in a real application is a complicated issue. In this dissertation, a mixture probability density function model is used in conjunction with the Expectation-Maximization algorithm to model histograms of edge intensity. Some new techniques are proposed for estimating the quality of a noisy image of a natural scene. Such quality measures can be used to guide the fusion. Finally, we study fusion of images obtained from several copies of a new type of camera developed for video surveillance. Our techniques increase the capability and reliability of the surveillance system and provide an easy way to obtain 3-D information of objects in the space monitored by the system.

Image Fusion in Remote Sensing

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Release : 2022-05-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 564/5 ( reviews)

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Book Synopsis Image Fusion in Remote Sensing by : Arian Azarang

Download or read book Image Fusion in Remote Sensing written by Arian Azarang. This book was released on 2022-05-31. Available in PDF, EPUB and Kindle. Book excerpt: Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.

Fusion of Images and Videos Using Multi-scale Transforms

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Author :
Release : 2014
Genre :
Kind : eBook
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Book Synopsis Fusion of Images and Videos Using Multi-scale Transforms by : Sarath Somasekharan Pillai

Download or read book Fusion of Images and Videos Using Multi-scale Transforms written by Sarath Somasekharan Pillai. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt:

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