Hyper-heuristics are methodologies used to search the space of heuristics for solving computationally di cult problems. We describe an object-oriented domain analysis for hyper-heuristics that orthogonally decomposes the domain into generative policy components. The framework facilitates the recursive instantiation of hyper-heuristics over hyper-heuristics, allowing further exploration of the p...

the purpose of this study is the fusion of polarimetric sar and hyperspectral images for concealed target detection in forest areas. the proposed method is using the polarimetric and the spectral signatures. a radarsat-2 image and a hyperion image of the city san francisco were chosen for evaluation of the proposed method. the four targets were selected in the forest and the outer areas. three ...

■ This article presents an overview of the theoretical and practical issues associated with the development, analysis, and application of detection algorithms to exploit hyperspectral imaging data. We focus on techniques that exploit spectral information exclusively to make decisions regarding the type of each pixel—target or nontarget—on a pixel-by-pixel basis in an image. First we describe th...

A few dominant tree species in temperate forests of western Himalayas have been mapped using Hyperion data. The data was processed for removing atmospheric distortions using FLAASH before classification. The replicate spectral profiles were collected in ground using field spectrometer (ASD) during same season for classification. Reconnaissance survey was conducted to locate populations or suffi...

Onboard classification of remote sensing data is of general interest given that it can be used as a trigger to initiate alarms, data download, additional higher-resolution scans, or more frequent scans of an area without ground interaction. In our case, we study the sulfur-rich BorupFiord glacial springs in Canada utilizing the Hyperion instrument aboard the EO-1 spacecraft. This system consist...

Abstract—A methodology is proposed for estimating the optical attenuation and proportional depth variation of shallow inland water. The process is demonstrated with EO-1 Hyperion hyperspectral and IRS-P6 LISS-3 multispectral images of Kolkata city nearby area centered around 22o33′ N 88o26′ E. The attenuation coefficient of water was found to change with fine resolution of wavebands and in pres...

Water composition undergoes complex spatial and temporal variations throughout the central Amazon floodplain. This study analyzed the spectral mixtures of the optically active substances (OASs) in water with spaceborne hyperspectral images. The test site was located upstream the confluence of Amazon (white water) and Tapajós (clear-water) rivers, where two Hyperion images were acquired from the...

Developments in hyperspectral remote sensing techniques during the last decade have enabled the use of narrowband indices to evaluate the role of forest ecosystem variables in estimating carbon (C) fluxes. In this study, narrowband bio-indicators derived from EO1 Hyperion data were investigated to determine whether they could capture the temporal variation and estimate the spatial variability o...