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Author: Choongyeun Cho
Publisher:
ISBN:
Category :
Languages : en
Pages : 158
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Book Description
(Cont.) Hyperspectral anomalies dealt with in this thesis are (1) cloud impact in hyperspectral radiance fields, (2) noisy channels and (3) scan-line miscalibration. Estimation of the cloud impact using the proposed algorithm is especially successful and comparable to an alternative physics-based algorithm. Noisy channels and miscalibrated scan-lines are also fairly well compensated or removed using the proposed algorithm.
Author: Choongyeun Cho
Publisher:
ISBN:
Category :
Languages : en
Pages : 158
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Book Description
(Cont.) Hyperspectral anomalies dealt with in this thesis are (1) cloud impact in hyperspectral radiance fields, (2) noisy channels and (3) scan-line miscalibration. Estimation of the cloud impact using the proposed algorithm is especially successful and comparable to an alternative physics-based algorithm. Noisy channels and miscalibrated scan-lines are also fairly well compensated or removed using the proposed algorithm.
Author: Chein-I Chang
Publisher: Springer Science & Business Media
ISBN: 1441991700
Category : Computers
Languages : en
Pages : 372
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Book Description
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.
Author: Suat Mercan
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 86
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Book Description
Author: Patrick C. Hytla
Publisher:
ISBN:
Category : Imaging systems
Languages : en
Pages : 230
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Book Description
Author: Liguo Wang
Publisher: Springer
ISBN: 3662474565
Category : Technology & Engineering
Languages : en
Pages : 327
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Book Description
Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.
Author: Chein-I Chang
Publisher: John Wiley & Sons
ISBN: 047012461X
Category : Science
Languages : en
Pages : 442
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Book Description
Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications. With discussion of application-based projects and case studies, this professional reference will bring you up-to-date on this pervasive technology, wether you are working in the military and defense fields, or in remote sensing technology, geoscience, or agriculture.
Author: Chein-I Chang
Publisher: Springer
ISBN: 1441961879
Category : Technology & Engineering
Languages : en
Pages : 629
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Book Description
The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive HyperSpectral Imaging (PHSI) and Recursive HyperSpectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book.
Author: Andrew Thomas Young
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The work presented in this thesis focuses on improving the anomaly detection process for remotely sensed hyperspectral imagery. This process is split up into three main sections; data reduction, atmospheric correction and anomaly detection. The final stage of this anomaly detection process is the actual anomaly detection algorithm. The initial contribution looks at developing a new type of anomaly detection algorithm based on the Percentage Occupancy Hit-or-Miss Transform. Also, a process for trying to improve the existing Mahalanobis Distance technique for hyperspectral data is explained. Both techniques are then tested on two aerial hyperspectral images, and the results are compared with an established technique the Sequential Maximum Angle Convex Cone algorithm. One of the preprocessing steps of the anomaly detection process is the atmospheric correction phase. In this thesis an interface is developed in MATLAB for the atmospheric modelling software MODTRAN, this interface is then used to find the key parameters that have the most effect on the atmospheric models produced. Having determined the key parameters of a MODTRAN atmospheric model, the models are then used to atmospherically correct eight hyperspectral images; four visible to near-infrared and four short wave infrared hyperspectral images. Two scene based approaches for atmospheric correction are also proposed that use known spectra extracted from the scene to produce an atmospheric transform. All three techniques are then evaluated against existing scene-based approaches, namely Internal Average Relative Reflectance and Dark Object Subtraction. The final contribution focuses on the data reduction phase, images of a wind turbine blade with simulated erosion were taken using a near-infrared hyperspectral camera. By analysing the images produced it was possible to determine the optimal bands necessary to detect each type of erosion. The greyscale images produced for the optimal bands were then compared with standard RGB camera imaging to determine if any more detail was shown in the hyperspectral images. Also by imaging the blade at varying light levels, it was possible to determine when this technique breaks down, however by performing some post-processing of the new data using a polynomial surface subtraction to flatten the images it was again possible to extract additional information from the hyperspectral images.
Author: Francis M. Mindrup
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 246
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Book Description
Author: Dimitris G. Manolakis
Publisher: Cambridge University Press
ISBN: 1316033406
Category : Technology & Engineering
Languages : en
Pages : 701
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Book Description
A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.
