[HTML][HTML] Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in …

C Kumar, S Chatterjee, T Oommen, A Guha - International Journal of …, 2020 - Elsevier
In this study, we proposed an automated lithological mapping approach by using spectral
enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible …

Potential of DESIS and PRISMA hyperspectral remote sensing data in rock classification and mineral identification: a case study for Banswara in Rajasthan, India

P Tripathi, RD Garg - Environmental Monitoring and Assessment, 2023 - Springer
Remote sensing datasets and methods are suitable for mapping and managing the natural
resources like minerals, clean water, and energy and also govern their sustainability …

[HTML][HTML] Potentials of airborne hyperspectral AVIRIS-NG data in the exploration of base metal deposit—a study in the parts of Bhilwara, Rajasthan

A Guha, U Kumar Ghosh, J Sinha, AB Pour, R Bhaisal… - Remote Sensing, 2021 - mdpi.com
In this study, we have processed the spectral bands of airborne hyperspectral data of
Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data for …

Spectral mixture analysis of intimate mixtures for lithological mapping

A Ahmad, AM Nair - ISPRS Journal of Photogrammetry and Remote …, 2024 - Elsevier
Spectral mixing is frequently encountered in remotely sensed images while imaging
heterogeneous surfaces. Spectral mixing occurs at the macroscopic level due to the sensor's …

Multi-sensor datasets-based optimal integration of spectral, textural, and morphological characteristics of rocks for lithological classification using machine learning …

C Kumar, S Chatterjee, T Oommen, A Guha… - Geocarto …, 2022 - Taylor & Francis
We present an optimal integration of multi-sensor datasets, including Advanced Spaceborne
Thermal and Reflection Radiometer (ASTER), Phased Array type L-band Synthetic Aperture …

Edge protection filtering and convolutional neural network for hyperspectral remote sensing image classification

H Lv, Z Wang, H Zhang - Infrared Physics & Technology, 2022 - Elsevier
Hyperspectral remote sensing (HRS) image has abundant spectral information and spatial
information, which provides the possibility for high precision ground object recognition …

Spectral characteristics of talc and mineral abundance mapping in the Jahazpur Belt of Rajasthan, India using AVIRIS-NG data

BK Bhadra, S Pathak, D Nanda, A Gupta… - International Journal of …, 2020 - Taylor & Francis
ABSTRACT Spaceborne data with Advanced Spaceborne Thermal Emission and Reflection
Radiometer (ASTER) Short Wave Infrared (SWIR) bands have been used worldwide in …

[PDF][PDF] Reflectance spectra and AVIRIS-NG airborne hyperspectral data analysis for mapping ultramafic rocks in igneous terrain

K Tamilarasan, S Anbazhagan… - Journal of Spectral …, 2022 - researchgate.net
Hyperspectral remote sensing is a rapidly growing technology, especially in the last three
decades. It is also referred to as imaging spectrometry. Hyperspectral data have been …

Potential use of airborne hyperspectral AVIRIS-NG data for mapping proterozoic metasediments in Banswara, India

K Rani, A Guha, KV Kumar, BK Bhattacharya… - Journal of the …, 2020 - Springer
Abstract Airborne Visible InfraRed Imaging Spectrometer—Next Generation (AVIRIS-NG)
data with high spectral and spatial resolutions are used for mapping metasediments in parts …

Airborne imaging spectroscopy of igneous layered complex and their mapping using different spectral enhancement conjugated support vector machine models

A Guha, S Mondal, S Chatterjee… - Geocarto …, 2022 - Taylor & Francis
Abstract We used Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-
NG) hyperspectral data for deriving automated layered igneous intrusion maps by …