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

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 …

Object detection is a vital step in satellite imagery-based computer vision applications such
as precision agriculture, urban planning and defense applications. In satellite imagery …

Algorithms based on deep learning are taking off as solutions to several problems in
numerous fields. Numerous deep learning architectures like convolutional neural networks …

The buildings in the rural areas of Morocco exist in various shapes and sizes. They are
randomly distributed and are generally constructed of primary materials such as clay, wood …

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 …

Forest change detection is essential to prevent the secondary damage occurring by
landslides causing profound results to the environment, ecosystem, and human society. The …

Aiming at the problems of electrical connector defect detection, such as low automation, low
detection accuracy, slow detection speed, and poor robustness, an improved Yolo v3 …

This book is motivated by the fact that meta-heuristic optimization techniques have become
very popular among researchers and engineers over the last two decades. The widespread …

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 …