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 …

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

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 …

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 developing field of computer vision. The
convolutional neural network (CNN) is a state-of-the-art deep learning tool that learns high …

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

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 …

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

Context Document forgery is a significant problem for ages due to paper-based documents'
pervasive use. Classical destructive approaches for this problem, such as chromatography …