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Investigation of civil engineering materials includes a wide range of applications that requires three-dimensional (3D) information. Complex structures shapes and formations within heterogeneous art...
Any National Mapping agency's need is to have a geo-enabling platform that maximizes the workflow by creating an environment that provides for the power to view, access and analyze data. Imaging spect...
In this paper, aiming at image displaying and considering the characteristics of hyperspectral data and the requirements of practical application, a new hyperspectral image fusion method is proposed. ...
An intelligent approach based on artificial immune systems (AIS) is proposed in this paper to perform the task of spectrum recognition in hyperspectral data analysis. Although traditional spectral mat...
The study shows that leaf area index (LAI) and canopy chlorophyll content can be mapped in a heterogeneous Mediterranean grassland from canopy spectral reflectance measurements. Canopy spectral measur...
This paper proposes an innovative band selection (BS) method called prototype space band selection (PSBS) based only on class spectra. The main novelty of the proposed BS lies in band representation i...
Information extraction from Hyperspectral imagery is highly affected by difficulties in accounting for flux density variation and Bidirectional reflectance effects. Calculation of flux density require...
Remote sensing provides a valuable basis for regional geological mapping. This study aims for the mapping of lithological units in Eldivan-Çankırı part of Çankırı Basin u...
Thee rapid advances in hyperspectral sensing technology have made it possible to collect remote sensing data in hundreds of bands. However, the data analysis methods which have been successfully appli...
Diagnosis of crop growth and nutrient status is critical for prediction of agriculture yield and quality at Growth stage. Two experiments, one in 2006 and one in 2007 were conducted to find out spr-wh...
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
Developments in hyperspectral remote sensing have provided new indices or indicators of biochemical and biophysical properties. Most of the studies involving the novel spectral indices have been condu...
Remote sensing uses many different types of imagery for interpretational purposes. Multispectral photography has shown to be of especially high interpretational value. During remote sensing studies wh...
A new dynamical dimensional reduction model (HDRM) for hyperspectral images is proposed based on clone selection algorithm which is inspired from nature immune system in this paper. In existing dimens...
In order to provide a wider field of view and higher spatial resolution to meet requirement for a typical earth observation mission, the project to developing wide field of view hyperspectral imager i...

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