Chein-I Chang, MEMBER SPIE University of Maryland Baltimore County Department of Computer Science and Electrical Engineering Remote Sensing Signal and Image Processing Laboratory 1000 Hilltop Circle Baltimore, MD 21250 Abstract. The hidden Markov model (HMM) has been widely used in speech recognition where it models a speech signal as a doubly stochastic process with a hidden state process that...

A reliable land cover (LC) map is essential for planners, as missing proper maps may deviate a project. This study focusing on classification and prediction using three well known classifiers remote sensing data. Maximum Likelihood classifier (MLC), Spectral Angle Mapper (SAM), Support Vector Machines (SVMs) algorithms are used the representatives parametric, non-parametric subpixel capable met...

Mafic–ultramafics complexes are crucial for their tectonic implication, upper mantle condition, and hosting industrial minerals in a region. This study aims to highlight characterize the mafic–ultramafic rocks of Logar Ophiolite Complex using integration geospatial technology field data. The spatial distribution ophiolitic complex was examined this mineralogical indices (MI), band ratio (BR), s...

Satellite remote sensing, with its unique synoptic coverage capabilities, can provide accurate and immediately valuable information on fire analysis and post-fire assessment, including estimation of burnt areas. In this study the potential for burnt area mapping of the combined use of Artificial Neural Network (ANN) and Spectral Angle Mapper (SAM) classifiers with Landsat TM satellite imagery w...

One of the main applications of field spectroscopy is the generation of spectral libraries of Earth’s surfaces or materials to support mapping activities using imaging spectroscopy. To enhance the reliability of these libraries, spectral signature acquisition should be carried out following standard procedures and controlled experimental approaches. This paper presents a standard protocol for t...

hyperion hyperspectral data contains a very rich source of information from the earth surface that collects 242 narrow contiguous spectral bands. achieving this source of rich information is subject to the performance of suitable image processing methods on raw satellite data. satellite image processing methods can be classified into two categories of statistical-based and spectral-based. in th...

Building extraction from imagery has been an active research area for decades. However, the precise building detection from hyperspectral (HSI) images solely is a less often addressed research question due to the low spatial resolution of data. The building boundaries are usually represented by spectrally mixed pixels, and classical edge detector algorithms fail to detect borders with sufficien...

Crop-distribution information constitutes the premise of precise management for crop cultivation. Euclidean distance and spectral angle mapper algorithms (ED SAM) mostly use similarity difference metric (SSDM) to determine variance associated with spatial location distribution acquisition. These methods are relatively insensitive shape or amplitude variation must reconstruct a reference curve r...

Reed beds are the second largest producer of biomass in Olkiluoto Island. Quantitative information on the extent and amount of reed stands is an integral part of the biosphere assessment related to long-term safety analysis of nuclear fuel repository site currently under construction. The major challenge in reed bed mapping is discrimination between reed and other green vegetation. Spectral fie...

The mafic and ultramafic rocks of Mettupalayam belong to the southern granulite terrain India, which is concomitant with vital economic resources. advantage Advanced Spaceborne Thermal Emission Reflectance Radiometer (ASTER) data for mapping litho units are exploited well here differentiating rock aid band combination (1, 3, 6), principal component analysis (5, 1, 6) ratioed (2/3, 3/2, 1/5 (9–8...