The composite nature of remotely sensed spectral information often masks diagnostic
spectral features and hampers the detailed identification and mapping of targeted …

Antarctica remains a remote and logistically difficult region to conduct geological field
mapping and mineral exploration. Remote sensing satellite imagery has high potential to …

Spectral unmixing aims at estimating the fractional abundances of pure spectral signatures
(also called endmembers) in each mixed pixel collected by a remote sensing hyperspectral …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

In this article, we introduce a deep learning-based technique for the linear hyperspectral
unmixing problem. The proposed method contains two main steps. First, the endmembers …

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth
of the research conducted over the years in the Remote Sensing Signal and Image …

Water spectral indices can enhance the difference between water bodies and background
features. Thus, they have been widely used to extract and map surface water bodies based …

Endmember extraction is a process to identify the hidden pure source signals from the
mixture. In the past decade, numerous algorithms have been proposed to perform this …

Anomaly detection becomes increasingly important in hyperspectral image analysis, since
hyperspectral imagers can now uncover many material substances which were previously …

Remote sensing plays an important role in mineral exploration. One of its proven
applications is extracting and locating alteration zones that are related to gold deposits. In …