OBJECTIVE The purpose of this study was to explore the possibility for analyzing and differentiating between motor and sensory functions of peripheral nerve axons using spectral technology. METHODS 10 μm slide section of S1 anterior and posterior rabbit spinal nerve roots were made and then stained with Karnovsky-Roots method for molecular hyperspectral imaging microscopy analysis. In additio...

[1] Changes in observed photometric intensity on a planetary surface are caused by variations in local viewing geometry defined by the radiance incidence, emission, and solar phase angle coupled with a wavelength‐dependent surface phase function f (a, l) which is specific for a given terrain. In this paper we provide preliminary empirical models, based on data acquired inflight, which enable th...

On August 18, 2002, the Hyperion hyperspectral imager onboard the EO-1 platform recorded data over an intensively used agricultural area in north western Switzerland, the Limpach Valley. The sensor’s 198 spectral bands between 400 and 2500 nm (Level 1B1) and a spatial resolution of 30 m bear the potential for both a detailed land use classification and an accurate estimation of biophysical and ...

Band selection is a commonly used approach for dimensionality reduction in hyperspectral imagery. Affinity propagation (AP), a new clustering algorithm, is addressed in many fields, and it can be used for hyperspectral band selection. However, this algorithm cannot get a fixed number of exemplars during the message-passing procedure, which limits its uses to a great extent. This paper proposes ...

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...

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 ...

In this study, hyperspectral datasets are simulated from multispectral data using a spectral reconstruction approach which is sensor-independent technique. This technique makes use of information atmospherically corrected Remote Sensing (MRS) and normalized ground spectra for the simulation HRS data. study EO-1, ALI dataset was used (HRS) to discover Udaipur region’s unique minerals. A total 61...

With the recent implementation of the Kyoto Protocol (Kyoto 1997), carbon credits may afford a new economic market associated with forested landscapes (IPCC 2000). To assess the potential for carbon sequestration in an important part of those forested landscapes, tree plantations, it is not only important to determine the extent to which tree species differ in carbon storage, but also to know t...

Variational pansharpening can enhance the spatial resolution of a hyperspectral (HS) image using a high-resolution panchromatic (PAN) image. However, this technology may lead to spectral distortion that obviously affect the accuracy of data analysis. In this article, we propose an improved variational method for HS image pansharpening with the constraint of spectral difference minimization. We ...