http://www.microimages.com page 2 Introduction to Hyperspectral Imaging Welcome to Hyperspectral Imaging Multispectral remote sensors such as the Landsat Thematic Mapper and SPOT XS produce images with a few relatively broad wavelength bands. Hyperspectral remote sensors, on the other hand, collect ...
Models should also be able to fully use the highly structured, spatial/spectral nature of the data. In this chapter, we present a general overview of hyperspectral imaging and review a number of existing data models that have been presented to analyze such data....
Modern retinal oxymetry uses hyperspectral imaging methods, to add a topological component to the retinal oxygenation information [15,31–37]. Khoobehi et al. [34] attached a fundus camera to an HSI for monitoring relative spatial changes in retinal oxygen saturation. The integrated system can be...
6.3 Group testing and data stream algorithms 6.4 Compressive medical imaging 6.5 Analog-to-information conversion 6.6 Single-pixel camera 6.7 Hyperspectral imaging 6.8 Compressive processing of manifold-modeled data 6.9 Inference using compressive measurements 6.10 Compressive sensor networks 6.11 Genomic sensin...
The analysis of hyperspectral images is an important task in Remote Sensing. Foregoing radiometric calibration results in the assignment of incident electromagnetic radiation to digital numbers and reduces the striping caused by slightly... Rogaß,Christian,Spengler,... 被引量: 49发表: 2011年 加载...
Airborne laser scanning (ALS) has emerged as one of the most promising remote sensing technologies to provide data for research and operational applications in a wide range of disciplines related to management of forest ecosystems. This chapter starts wi
Hyperspectral imagingLambMultispectral imagingMultivariate analysisMuscle foodsPorkTraditional methods are still widely used in most food industries due to the unavailability of smart alternatives. Traditional destructive methods are not suitable in today's hypercompetitive marketplace. Consequently, a cost-...
INTRODUCTION: Hyperspectral imaging (HSI) is a noninvasive technique for transcutaneous measurements of tissue perfusion. This study (1) provides a review of the current literature on HSI for tissue perfusion measurements of the lower leg and (2) introduces a standardized measurement protocol for HSI...
The goal of having computers automatically solve problems is central to artificial intelligence, machine learning, and the broad area encompassed by what Turing called ‘machine intelligence’ [384]. Machine learning pioneer Arthur Samuel, in his 1983 talk entitled ‘AI: Where It Has Been and Where...
(2015) An introduction to the NASA Hyperspectral Infra- Red Imager (HyspIRI) mission and preparatory activities. Remote Sensing of Environment, 167, 6-19.C. M. Lee et al., "An introduction to the NASA hyperspectral infrared imager (HyspIRI) mission and preparatory activities," Remote Sens. ...