The reflectance spectrum of the species in a hyperspectral data can be modelled as an n­dimensional vector. The spectral angle mapper computes the angle between the vectors which is used to discriminate the species. The spectral information divergence models the data as a probability distribution so that the spectral variability between the bands can be extracted using the stochastic measures. ...

The northwestern part of the Kerman Cenozoic magmatic arc (KCMA) contains many areas with porphyry copper mineralization. In this research, we used the advanced space-borne thermal emission and reflection radiometer (ASTER) and Enhanced Thematic Mapper plus (ETM+) images of this region to map the distribution of hydrothermally altered rocks, based on their mineral assemblages. The spectral meas...

The classification methods for feature spectra are based on a comparison of the spectral image with a reference spectrum (endmembers or spectral libraries). The comparison is accomplished through a criterion of similarity. The Spectral Angle Mapper SAM is one of the leading classification methods because it evaluates the spectra similarity in order to repress the influence of the shading to acc...

Abstract Quaternary placer deposits are becoming increasingly important. Remote sensing is a very powerful tool in discriminating altered areas related to intrusion deposits, which has significantly reduced the cost and time of exploration. In this study, to identify iron-bearing alluvial zones within the 1:100000 sheet of Hamedan, satellite image processing techniques such as band ratio (BR),...

the northwestern part of the kerman cenozoic magmatic arc (kcma) contains many areas with porphyry copper mineralization. in this research, we used the advanced space-borne thermal emission and reflection radiometer (aster) and enhanced thematic mapper plus (etm+) images of this region to map the distribution of hydrothermally altered rocks, based on their mineral assemblages. the spectral meas...

Hyperspectral imaging is a promising non-invasive method for applications in conservation of painting. With its ability to capture both spatial and spectral information which relates to physical characteristics of materials, the identification of pigments and its spatial distribution across the painting is now possible. In this work, The Scream (1893) by Edvard Munch is acquired using a hypersp...

The need to monitor the Earth’s surface over a range of spatial and temporal scales is fundamental in ecosystems planning and management. Change-Vector Analysis (CVA) is a bi-temporal method of change detection that considers the magnitude and direction of change vector. However, many multispectral applications do not make use of the direction component. The procedure most used to calculate the...

A hyperspectral image can be considered as an image cube where the third dimension is the spectral domain represented by hundreds of spectral wavelengths. A hyperspectral image pixel is actually a column vector with dimension equal to the number of spectral bands and contains valuable spectral information that can be used to detect and identify a variety of nature and man-made material. Some sp...

Hyperspectral images possess the characteristics of high dimensionality, which causes “dimensional disaster” and low classification accuracy, in response to problems, based on traditional k-means algorithm considering importance different bands for classification, also combining both intra-class inter-class information, a Kmeans-CM (K-means with correlation coefficient maximize distance) spectr...