The analysis of the hyperspectral image is an important method used in mineral detection. A map of the Feldspar mineral will produced for the study area, which lies to the west of the holy province of Karbala and limited in image that download from USGS website (type hyperspectral image from EO-1 satellite) , by using Spectral Angle Mapper (SAM) technique in the Erdas software, which is based on calculating the spectral reflection curve of any point on the image and the spectral reflection curve of feldspar mineral that is available in the spectral library of the software. For the purpose of verifying the results of the image analysis, ground truth ( field work ) was used by collecting 12 soil samples and finding the spectral curve for each...
Hyperspectral data is a powerful tool for mineral explorations and lithological discriminations. EO1...
The mineral ore potential of many mountainous regions of the world, like the Kurdistan region of Ira...
An accuracy assessment of a classified thematic map is critical for the success of a remote sensing ...
Hyperspectral imaging plays a noticeable role in the remote sensing group.Recent investigations sta...
The spectral angle mapper (SAM), as a spectral matching method, has been widely used in lithological...
In this study, hyperspectral datasets are simulated from multispectral data using a spectral reconst...
The present study demonstrates the capability of a multispectral sensor for the detection of the min...
The satellite data obtained from various airborne as well as space-borne Hyperspectral sensors, ofte...
Goal-oriented classifications can be done with the integration of remote sensing images and spectral...
Remote sensing techniques have emerged as an asset for various geological studies. Satellite images ...
A study was carried out by collecting soil samples from parts of Gwalior and Shivpuri district, Madh...
Lithological mapping using satellite images, particularly the Advanced Spaceborne Thermal Emission a...
International audienceMineral mapping and soil analysis, from airborne or satellite sensors, are two...
In recent years, satellite sensor images have been commonly used in mineral detection. These images,...
To evaluate the application potential of hyperspectral imaging, the automated spectral mapping and s...
Hyperspectral data is a powerful tool for mineral explorations and lithological discriminations. EO1...
The mineral ore potential of many mountainous regions of the world, like the Kurdistan region of Ira...
An accuracy assessment of a classified thematic map is critical for the success of a remote sensing ...
Hyperspectral imaging plays a noticeable role in the remote sensing group.Recent investigations sta...
The spectral angle mapper (SAM), as a spectral matching method, has been widely used in lithological...
In this study, hyperspectral datasets are simulated from multispectral data using a spectral reconst...
The present study demonstrates the capability of a multispectral sensor for the detection of the min...
The satellite data obtained from various airborne as well as space-borne Hyperspectral sensors, ofte...
Goal-oriented classifications can be done with the integration of remote sensing images and spectral...
Remote sensing techniques have emerged as an asset for various geological studies. Satellite images ...
A study was carried out by collecting soil samples from parts of Gwalior and Shivpuri district, Madh...
Lithological mapping using satellite images, particularly the Advanced Spaceborne Thermal Emission a...
International audienceMineral mapping and soil analysis, from airborne or satellite sensors, are two...
In recent years, satellite sensor images have been commonly used in mineral detection. These images,...
To evaluate the application potential of hyperspectral imaging, the automated spectral mapping and s...
Hyperspectral data is a powerful tool for mineral explorations and lithological discriminations. EO1...
The mineral ore potential of many mountainous regions of the world, like the Kurdistan region of Ira...
An accuracy assessment of a classified thematic map is critical for the success of a remote sensing ...