Survey of Hyperspectral and Multispectral Imaging Technologies (Etude Sur Les Technologies D'imagerie Hyperspectrale Et Multispectrale).


Book Description

Hyperspectral (HSI) and multispectral or multiband imaging (MSI) systems are powerful tools in the field of remote sensing. While HSI systems collect at least 100 spectral bands of 10 20 nm width, MSI sensors are systems collecting less than 20, generally non contiguous, spectral bands. HSI systems have a very wide capability of spectral discrimination, while MSI systems are designed to support applications by providing bands that detect information in specific combinations of desirable regions of the spectrum. The number and position of bands in each system provide a unique combination of spectral information and are tailored to the requirements the sensor was designed to support. Promising or well developed military applications of multispectral and hyperspectral technologies are: * Gathering information about battlespace; * Discrimination between targets and decoys; * Defeating camouflage; * Early warning for long range missiles and space surveillance; * Detection of weapons of mass destruction; and * Detection of landmines. The paper reviews today's technologies that are applied in hyperspectral, multispectral and multiband imaging systems and lists commercially available sensors for airborne, spaceborne and ground based applications. Although not exhaustive, the survey does provide a fairly complete picture of all current and emerging technologies and deployed imaging systems. Most HSI and MSI systems work in a wavelength range from the visible to the infrared. This survey is dedicated to the technologies involved in the domain of the infrared, commonly divided in bands called Near Infrared (NIR), Short Wavelength Infrared (SWIR), Medium Wavelength Infrared (MWIR), and Long Wavelength Infrared (LWIR). This paper is part of RTG-33's (SET-065) activities in assessing multispectral/multiband infrared imaging systems. The information in this report is considered valid to a date of September 2005. The information provided is unclassified and publicly available.




Survey of Hyperspectral and Multispectral Imaging Technologies


Book Description

"The primary goals for NATO SET-065/RTG-33 were to determine the benefits of multiband/multispectral imaging and to improve and extend the existing infrared target acquisition models to include new targets and/or imaging conditions. All activities performed by the group in this context are summarised in the Final Report. One main activity was a field trial at the Angers Technical Center in France in 2004. The objectives of this field trial were to collect multiband and hyperspectral imagery for investigation of spectral vehicle and human target signature characteristics in the urban environment. The paper "Survey of Hyperspectral and Multispectral Imaging Technologies" reviews today's technologies that are applied in hyperspectral, multispectral and multiband imaging systems. The TG-33 activities produced results that furthered the understanding of multiband sensor performance and improved performance modelling."--Report documentation page.




Hyperspectral Imaging


Book Description

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed Covers state-of-the-art applications in different scientific fields Discusses the implementation of hyperspectral devices in different environments




Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences


Book Description

The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences—geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future.




Hyperspectral Imaging in Agriculture, Food and Environment


Book Description

This book is about the novel aspects and future trends of the hyperspectral imaging in agriculture, food, and environment. The topics covered by this book are hyperspectral imaging and their applications in the nondestructive quality assessment of fruits and vegetables, hyperspectral imaging for assessing quality and safety of meat, multimode hyperspectral imaging for food quality and safety, models fitting to pattern recognition in hyperspectral images, sequential classification of hyperspectral images, graph construction for hyperspectral data unmixing, target visualization method to process hyperspectral image, and soil contamination mapping with hyperspectral imagery. This book is a general reference work for students, professional engineers, and readers with interest in the subject.




Hyperspectral imagery warfighting through a different set of eyes


Book Description

Hyperspectral Imagery, or HSI, is a sophisticated, versatile intelligence gathering technology that could potentially enable the US military to make significant strides towards improving the preparation for and execution of its missions. Many of the difficulties in bringing the promise of HSI to fruition have very little to do with the technology itself. As will be discussed shortly, HSI technology has been successfully demonstrated in a variety of diverse applications. In point of fact, it is the versatility of HSI that may be hindering its implementation into the mainstream of the U.S. military's intelligence gathering capability. The objective of this paper is threefold. The first goal is to introduce the reader to both the technology itself and the myriad potential applications of Hyperspectral Imagery. The second goal is to realistically examine the challenges that HSI must overcome, specifically in the areas of how HSI fits into the world of joint vision, intelligence doctrine, and the intelligence cycle. Finally, the paper will provide a series of recommendations some focused on organizational issues and others on acquisition issues that will address the majority of the challenges faced by the intelligence community as they endeavor to incorporate an HSI capability into the U.S. intelligence community.




Hyperspectral Imaging and Applications


Book Description

Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue "Hyperspectral Imaging and Applications" is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories with the number of papers published in every category included in its open parenthesis. 1. Data Unmixing (2 papers)2. Spectral variability (2 papers)3. Target Detection (3 papers)4. Hyperspectral Image Classification (6 papers)5. Band Selection (2 papers)6. Data Fusion (2 papers)7. Applications (8 papers) Under every category each paper is briefly summarized by a short description so that readers can quickly grab its content to find what they are interested in.




Techniques and Applications of Hyperspectral Image Analysis


Book Description

Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. Other imaging topics that are covered are segmentation, regression and classification. The book discusses how high quality images of large data files can be structured and archived. Imaging techniques also demand accurate calibration, and are covered in sections about multivariate calibration techniques. The book explains the most important instruments for hyperspectral imaging in more technical detail. A number of applications from medical and chemical imaging are presented and there is an emphasis on data analysis including modeling, data visualization, model testing and statistical interpretation.







Hyperspectral Imaging


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.