The objective of this work is to develop an algorithm for pansharpening of very high resolution (VHR) satellite imagery that reduces the spectral distortion of the pansharpened images and enhances their spatial clarity with minimal computational costs. In order to minimize the spectral distortion and computational costs, the global injection gain is transformed to the local injection gains usin...

Modern multicore platforms suffer from inefficiencies due to contention and communication caused by sharing resources or accessing shared data. In this paper, we demonstrate that information from low-cost hardware performance counters commonly available on modern processors is sufficient to identify and separate the causes of communication traffic and performance degradation. We have developed ...

Worldview-3 (WV3) 16-band multispectral data were used to map exposed bedrock and mine waste piles associated with legacy open-pit mining of sandstone-hosted roll-front uranium deposits along the South Texas Coastal Plain. We “spectral hourglass” approach extract spectral endmembers representative these features from image. This first requires calibrating imagery reflectance, then masking for v...

La caracterización y delimitación de la cobertura vegetal existente en una determinada área geográfica es vital importancia para adecuada gestión los recursos naturales. En tal sentido, esta investigación propone metodología realizar tipos subcuenca Quillcay. El estudio está localizada distritos Huaraz e Independencia, provincia Huaraz, Ancash; ladera occidental media Cordillera Blanca Cuenca d...

Most of the approaches to solve the unmixing problem are based on the Linear Mixing Model (LMM) which is questionable. Therefore, nonlinear spectral model is generally used to study the effects of multiple scattering in the complex surfaces. In this paper, we have demonstrated the application of Radiative Transform Equation (RTE) based Hapke multi scattering model. The Hapke model based non-lin...

We investigated the optimal spectral bands for the identification of lighting types and the estimation of four major indices used to measure the efficiency or character of lighting. To accomplish these objectives we collected high-resolution emission spectra (350 to 2,500 nm) for forty-three different lamps, encompassing nine of the major types of lamps used worldwide. The narrow band emission ...

The application of machine learning (ML) algorithms for processing remote sensing data is momentous, particularly mapping hydrothermal alteration zones associated with porphyry copper deposits. unsupervised Dirichlet Process (DP) and the supervised Support Vector Machine (SVM) techniques can be executed main objective this investigation to practice an algorithm that accurately model best traini...

The object-based against pixel-based image analysis approaches were assessed for lithological mapping in a geologically complex terrain using Visible Near Infrared (VNIR) bands of WorldView-3 (WV-3) satellite imagery. study area is Hormuz Island, southern Iran, salt dome composed dominant sedimentary and igneous rocks. When performing the (OBIA) approach, textural spectral characteristics featu...

In line with precision viticulture, in recent years new methods of vineyard management have been introduced, so as to optimize vine cultivation and production wine the highest quality. Following on methodologies developed for mapping other crop parameters, there is currently a growing research effort discrimination varieties, this information useful vineyard-scale management, local regional inv...