Recent advances in counterfeit art, document, photo, hologram, and currency detection using hyperspectral imaging
Forgery and tampering continue to provide unnecessary economic burdens. Although new
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …
A survey of landmine detection using hyperspectral imaging
Hyperspectral imaging is a trending technique in remote sensing that finds its application in
many different areas, such as agriculture, mapping, target detection, food quality monitoring …
many different areas, such as agriculture, mapping, target detection, food quality monitoring …
A feature selection approach for hyperspectral image based on modified ant lion optimizer
M Wang, C Wu, L Wang, D Xiang, X Huang - Knowledge-Based Systems, 2019 - Elsevier
Feature selection is one of the most important issues in hyperspectral image (HSI)
classification to achieve high correlation between the adjacent bands. The main concern is …
classification to achieve high correlation between the adjacent bands. The main concern is …
Non-invasive skin cancer diagnosis using hyperspectral imaging for in-situ clinical support
Skin cancer is one of the most common forms of cancer worldwide and its early detection its
key to achieve an effective treatment of the lesion. Commonly, skin cancer diagnosis is …
key to achieve an effective treatment of the lesion. Commonly, skin cancer diagnosis is …
Hyperspectral image denoising via texture-preserved total variation regularizer
The total variation (TV) regularizer is a widely used technique in image-processing tasks to
model an image's local smoothness property. Intrinsically, the TV regularizer imposes …
model an image's local smoothness property. Intrinsically, the TV regularizer imposes …
Resource allocation schemes for 5G network: A systematic review
Fifth-generation (5G) communication technology is intended to offer higher data rates,
outstanding user exposure, lower power consumption, and extremely short latency. Such …
outstanding user exposure, lower power consumption, and extremely short latency. Such …
A comparative analysis of swarm intelligence and evolutionary algorithms for feature selection in SVM-based hyperspectral image classification
Feature selection (FS) is vital in hyperspectral image (HSI) classification, it is an NP-hard
problem, and Swarm Intelligence and Evolutionary Algorithms (SIEAs) have been proved …
problem, and Swarm Intelligence and Evolutionary Algorithms (SIEAs) have been proved …
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
Hyperspectral image (HSI) classification is one of the fundamental tasks in HSI analysis.
Recently, many approaches have been extensively studied to improve the classification …
Recently, many approaches have been extensively studied to improve the classification …
A comprehensive review on landmine detection using deep learning techniques in 5G environment: open issues and challenges
Detection of Landmines, especially anti-tank mines, bombs, and unexploded substances, is
one of the major challenges facing humanity. The devastation and human tragedy …
one of the major challenges facing humanity. The devastation and human tragedy …
Hyperspectral and multispectral imaging: setting the scene
JM Amigo - Data handling in science and technology, 2019 - Elsevier
Hyperspectral imaging (HSI) and multispectral imaging (MSI) are becoming increasingly
popular in science. Nowadays, it is very easy to find any scientific laboratory with cameras …
popular in science. Nowadays, it is very easy to find any scientific laboratory with cameras …