  Mineral identification using remote sensing technologies is becoming more
dominant in this field since it saves time by demonstrating a more effective
way for land resources survey. In such remote sensing technologies,
hyperspectral remote sensing (HSRS) technology has increased gradually for its
efficient manner. This technology is usually used from an airborne platform,
i.e., satellite. Hence, satellite imagery remote sensing technology is now more
capable of providing accuracy in mineral identification, and mapping.
Hyperspectral satellite imagery can identify minerals more accurately compared
to traditional technologies in remote sensing by constructing a complete
reflectance of the spectrum from each pixel with its advanced imaging sensor.
Bangladesh is a developing country with an area of 1,50,000 square kilometers
located in Southeast Asia. Though it is a small country, it is enriched with
several mineral resources through rivers, forests, hills, and the Bay of
Bengal. In this study, hyperspectral imaging technology is employed on some
major identical areas (Maheshkhali, Netrokona, Panchagarh, and Patuakhali) of
Bangladesh to identify minerals there. As there are no studies done in
Bangladesh using hyperspectral imaging yet, it is a good opportunity to explore
the potentiality of HS imagery in this field. In this study, the FLAASH (Fast
Line-of-sight Atmospheric Analysis) module with necessary parameter settings is
used to filter the data, and finally, mineral identification is done by the
spectral matched filtering method. Our investigation resulted in finding some
potential minerals in those areas including Stariolite, Diasphore, Zircon,
Alunite, Quartz, and so on. This indicates that there still is enormous
potential for further exploration of minerals in Bangladesh by Hyperspectral
Satellite Imagery.

Image and Video Processing;Systems and Control;Systems and Control