Hyperspectral (HS) super-resolution reconstruction is an ill-posed inversion problem, for which the solution from reconstruction constraint is not unique. To address this, an HS image super-resolution method is proposed to first utilize the joint regulation of spatial and spectral nonlocal similarities. We then fused the HS and panchromatic images with sparse regulation. With these two regulati...

Rapid advancement in remote sensing open new avenues to explore the hyperspectral Hyperion imagery pre-processing techniques, analysis and application for land use mapping. The hyperspectral data consists of 242 bands out of which 196 calibrated/useful bands are available for hyperspectral applications. Atmospheric correction applied to the hyperspectral calibrated bands make the data more usef...

Introduction: The Autonomous Sciencecraft Experiment (ASE) is a JPL-led, New Millennium Program mission containing new technology in the form of software to be flown on the Earth Observer-1 (EO1) satellite in early 2004 [1, 2]. This new technology will facilitate an artificially intelligent machine with autonomous science-driven capabilities. Among the ASE flight software is a set of onboard sc...

Based on hyperspectral data mining techniques and characteristics of imaging spectrum, Hyperion satellite hyperspectral data are used to study the diagnosable spectral signatures and quantitatively extract the absorption spectral features of sandstone-hosted uranium deposits in northern China. In terms of information extraction approach and the processing method of extra-abundance data, we have...

Asbestos is a commercial term that represents several different silicate minerals which separate into long thin fibers. Asbestos has been used in numerous commercial applications due to its outstanding incombustible and insulating characteristics but causes fatal diseases such as lung cancer, asbestosis and malignant mesothelioma so strict regulations and controls for asbestos bearing rocks and...

Current ocean color sensors, for example SeaWiFS and MODIS, are well suited for sampling the open ocean. However, coastal environments are spatially and optically more complex and require more frequent sampling and higher spatial resolution sensors with additional spectral channels. We have conducted experiments with data from Hyperion and airborne hyperspectral imagers to evaluate these needs ...

This paper proposes a novel hyperspectral matching algorithm by integrating the stochastic Jeffries-Matusita measure (JM) and the deterministic Spectral Angle Mapper (SAM), to accurately map the species and the associated landcover types of the mangroves of east coast of India using hyperspectral satellite images. The JM-SAM algorithm signifies the combination of a qualitative distance measure ...