In this paper, we explore the role of best bands algorithms in the context of maximizing the performance of hyperspectral algorithms. Specifically, we first focus on creating an intuitive framework for how metrics quantify the distance between two spectra. Focusing on the Spectral Angle Mapper (SAM) metric, we demonstrate how the separability of two spectra can be increased by choosing the band...

This paper develops a procedure for mapping Martian lithologic units, using the OMEGA/Mars Express data. The procedure consists of correcting Martian atmospheric absorptions based on an empirical transmission function method, noise-free principle components analysis based on a minimum noise fraction (MNF) method, lithologic unit delineation, and spectral matching of the units to spectral librar...

Hyperspectral images provide abundant information about objects. The high dimensionality of such images arise various problems such as curse of dimensionality and large hypothesis space. There are two methods to overcome the high dimensionality problem which are band selection and feature extraction. In this paper we present a feature extraction method based on an angular criterion; this method...

Hyperspectral imaging data within the wavelength range of 400–1000 nm were used to classify common skin conditions (i.e., normal, scar, decay, and insect bite) achacha fruits. The band ratio (BR) spectral angle mapper (SAM) algorithms in a binary classification. Furthermore, SAM, support vector machine (SVM), artificial neural network (ANN) models multiclass performances classification assessed...

Deforestation is a major factor reducing natural habitats, leading to tropical ecosystems and biodiversity loss worldwide. The Lacandona region in southern Mexico holds one of the largest fragments rainforest North America. We evaluated deforestation harmonizing concepts methodologies. An international (FAO definition), governmental (national regional definition with applications at different s...

A diverse group of coral reef organisms, representing several phyla, possess fluorescent pigments. We investigated the potential of using the characteristic fluorescence emission spectra of these pigments to enable unsupervised, optical classification of coral reef habitats. We compiled a library of characteristic fluorescence spectra through in situ and laboratory measurements from a variety o...

FTIR and Raman spectral imaging can be used to simultaneously image a latent fingerprint and detect exogenous substances deposited within it. These substances might include drugs of abuse or traces of explosives or gunshot residue. In this work, spectral searching algorithms were tested for their efficacy in finding targeted substances deposited within fingerprints. "Reverse" library searching,...

The aims of this study were: (i) the mapping of asbestos cement roofs in an urban area; and (ii) the development of a spectral index related to the roof weathering status. Aerial images were collected through the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) sensor, which acquires data in 102 channels from the visible to the thermal infrared spectral range. An image based supe...

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...

Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric conditions, Earth-sun distance, detector calibration, illumination, and viewing angles). These unwanted effects must be removed for radiometric consistency among temporal images, leaving only land-leaving radiances, for optimum change detection. A variety of relative radiometric correction techn...