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Nowadays hyperspectral data are really important in the environmental field. While the advantages, due to their radiometric features are broadly documented a rigorous metric verification is still ab...
The dynamics of pigment concentrations are related to vegetation photosynthetic potential and hence primary production, nutrient status, stress physiology and plant-environment interactions. Therefo...
The heat island phenomenon, caused by urbanization, is one of the growing problems in Japan. In this study, we have described the radiometric temperature of the ground surface observed by the airbor...
Recently, hyperspectral image analysis has obtained successful results in information extraction for earth remote sensing system. The data produced with this type of analysis is an important compone...
New sensor technology has made it possible to gather multispectral images in hundreds and potentially thousands of spectral bands, this tremendous increase in spectral resolution should provide a we...
The rapid spread of nonnative plant species have caused considerable negative impact to the biodiversity and ecosystems in Taiwan. To better understand the status and to support researchers and decis...
Martian mineral detection and mapping can provide important information and constraints on Martian aqueous history, which can be used to assess the potential habitability of Mars. The key parameters t...
In this paper a new classification technique for hyperspectral data based on synergetics theory is presented. Synergetics – originally introduced by the physicist H. Haken – is an interdisciplinary th...
Small unmanned aerial vehicles are increasingly being employed for environmental monitoring at local scale, which drives the demand for compact and lightweight spectral imagers. This paper describes t...
Data fusion techniques require a good registration of all the used datasets. In remote sensing, images are usually geo-referenced using the GPS and IMU data. However, if more precise registration is r...
Dimensionality reduction algorithms, which aim to select a small set of efficient and discriminant features, have attracted great attention for Hyperspectral Image Classification. The manifold learnin...
Field spectroscopic metadata is a central component in the quality and reliability of hyperspectral data and the products derived from it. The impact of the quantity and format of metadata created at ...
The German Aerospace Center DLR – namely the Earth Observation Center EOC and the German Space Operations Center GSOC – is responsible for the establishment of the ground segment of the future German ...

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