Multi-instrument data sets present an interesting challenge to feature extraction algorithm developers. Beyond the immediate problems of spatial co-registration, the remote sensing scientist must explore a complex algorithm space in which both spatial and spectral signatures may be required to identify a feature of interest. We describe a genetic programming/supervised classifier software syste...

High-Throughput materials discovery involves the rapid synthesis, measurement, and characterization of many different but structurally-related materials. A key problem in materials discovery, the phase map identification problem, involves the determination of the crystal phase diagram from the materials composition and structural characterization data. We present Phase-Mapper, a novel AI platfo...

O objetivo deste trabalho foi a avaliação da acurácia de algoritmos classificação do uso e cobertura solo, quando aplicados uma imagem orbital média resolução espacial. Para esse estudo foram utilizadas as bandas espectrais faixa visível infravermelho próximo, sensor Operational Land Imager – OLI na Baía Babitonga/SC. Foram propostas nove classes que serviram como controle para testar 11 classi...

In a recent studie (Greiwe and Ehlers, 2005), the author developed a decision based data fusion approach for the analysis of spatial and spectral high resolution image data of an urban scene. Image segments of high resolution orthophotos were classified with additional material information derived from hyperspectral image data. To retrieve this material information, the hyperspectral image data...

The paper presents the results of an extended analysis of image data sets acquired during the tandem-orbit configuration in 1999 for the purposes of radiometric cross-calibration of the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-5 Thematic Mapper (TM) sensors. Earlier work focused on the tandem pair for the Railroad Valley Playa, Nevada (RVPN) site to tie down the Landsat-5 TM c...

Worldwide, an increasing number of marine islands suffer from various pressures on the environment, driven by climate change and land demands. The Galapagos Archipelago is one most iconic group islands, yet population growth tourism have resulted in a rising need for efficient environmental monitoring its fragile ecosystems, such as intertidal zone which harbors diverse unique fauna. purpose th...

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...

this study determined some spectral characteristics and relationship between landsat spectral reflectance and soil surface color in the arid region of iran (kashan). the study carried out in the kashan area that covers 90000 ha. consisting of mountain, hills and flood plain. enhanced thematic mapper (etm+) data collected on july 2002 were used for this research. the color composite images produ...

Abstract: The Urumieh-Dokhtar Magmatic Belt (UDMB) is the host of many Iranian Cu porphyry deposits. Southern part of this belt, in the range of geological Jebal barez, has been less investigated because of the mountainous and rough topography and also some security confrontation. Porphyry deposits are associated with hydrothermal alteration zones can be mapped using remote sensing data such as...

Moderate-resolution satellite imagery is essential to detect conifer tree decline on a regional scale and address the threat caused by pinewood nematode (PWN), (Bursaphelenchus xylophilus. This quarantine organism responsible for pine wilt disease (PWD), which has substantial ecological economic losses in maritime (Pinus pinaster) forests of Portugal. study describes first instance pre-operatio...