Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …
research area. This growing interest, started in the last decades, might be explained by the …
Biomolecular and bioanalytical applications of infrared spectroscopy–A review
Infrared (IR; or mid-infrared, MIR; 4000-400 cm− 1; 2500–25,000 nm) spectroscopy has
become one of the most powerful and versatile tools at the disposal of modern bioscience …
become one of the most powerful and versatile tools at the disposal of modern bioscience …
Deep supervised learning for hyperspectral data classification through convolutional neural networks
Spectral observations along the spectrum in many narrow spectral bands through
hyperspectral imaging provides valuable information towards material and object …
hyperspectral imaging provides valuable information towards material and object …
An effective evaluation tool for hyperspectral target detection: 3D receiver operating characteristic curve analysis
CI Chang - IEEE Transactions on Geoscience and Remote …, 2020 - ieeexplore.ieee.org
Receiver operating characteristic (ROC) analysis is performed by a curve, called ROC curve,
plotted based on detection probability, PD, versus false alarm probability, PF, and has been …
plotted based on detection probability, PD, versus false alarm probability, PF, and has been …
Hyperspectral satellites, evolution, and development history
SE Qian - IEEE Journal of Selected Topics in Applied Earth …, 2021 - ieeexplore.ieee.org
Hyperspectral imaging has been emerged as a new generation of technology for earth
observation and space exploration since the beginning of this millennium and widely used …
observation and space exploration since the beginning of this millennium and widely used …
Target detection with unconstrained linear mixture model and hierarchical denoising autoencoder in hyperspectral imagery
Hyperspectral imagery with very high spectral resolution provides a new insight for subtle
nuances identification of similar substances. However, hyperspectral target detection faces …
nuances identification of similar substances. However, hyperspectral target detection faces …
Effective anomaly space for hyperspectral anomaly detection
CI Chang - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
Due to unavailability of prior knowledge about anomalies, background suppression (BS) is a
crucial factor in anomaly detection (AD) evaluation. The difficulty in dealing with BS arises …
crucial factor in anomaly detection (AD) evaluation. The difficulty in dealing with BS arises …
Hyperspectral image reconstruction by deep convolutional neural network for classification
Spatial features of hyperspectral imagery (HSI) have gained an increasing attention in the
latest years. Considering deep convolutional neural network (CNN) can extract a hierarchy …
latest years. Considering deep convolutional neural network (CNN) can extract a hierarchy …
A review of the medical hyperspectral imaging systems and unmixing algorithms' in biological tissues
Hyperspectral fluorescence imaging (HFI) is a well-known technique in the medical research
field and is considered a non-invasive tool for tissue diagnosis. This review article gives a …
field and is considered a non-invasive tool for tissue diagnosis. This review article gives a …
Early detection and quantification of Verticillium wilt in olive using hyperspectral and thermal imagery over large areas
Automatic methods for an early detection of plant diseases (ie, visible symptoms at early
stages of disease development) using remote sensing are critical for precision crop …
stages of disease development) using remote sensing are critical for precision crop …