Over the past three decades, significant developments have been made in hyperspectral
imaging due to which it has emerged as an effective tool in numerous civil, environmental …

The surface of the earth is rapidly changing every day due to certain natural reasons and
other impacts by society. Over the last few decades, the hottest topics in the field of remote …

Face is one of the most widely used biometrics for human identity authentication. Facial
recognition has remained an interesting and active research area in the past several …

Automatic image analysis is a crucial component of many intelligent systems designed for
high-level understanding of documents. Most document image understanding systems are …

Hyperspectral imaging has shown tremendous growth over the past three decades.
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …

Deep learning is revolutionizing the already rapidly develo** field of computer vision. The
convolutional neural network (CNN) is a state-of-the-art deep learning tool that learns high …

Analysing multispectral (MSP) and hyperspectral (HSP) satellite images in the field of
remote sensing and the geographic information system (GIS) environment have become …

Face recognition is diversely used in modern biometric and security applications. Most of the
current face recognition techniques show good results in a constrained environment …

Hyperspectral Document Image (HSDI) analysis allows for efficient and accurate
differentiation of inks with visually similar color but unique spectral response, which is a …

Ink mismatch detection provides important clues to forensic document examiners by
identifying whether a particular handwritten note was written with a specific pen, or to show …