Results 71 to 80 of about 53,858 (186)

TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention

International Journal of Applied Earth Observations and Geoinformation
Thermal infrared hyperspectral images (TIR-HSIs) provide unique spectral insights that are often unattainable with visible imagery, making them invaluable for applications such as land cover classification and geological mapping.
Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +4 more
doaj   +1 more source

A Comparative Analysis of U-Net Architectures with Dimensionality Reduction for Agricultural Crop Classification Using Hyperspectral Data

Algorithms
The inherent high dimensionality of hyperspectral imagery presents both opportunities and challenges for agricultural crop classification. This study offers a rigorous comparative evaluation of three U-Net-based architectures, i.e., U-Net, U-Net++, and ...
Georgios Dimitrios Gkologkinas, Konstantinos Ntouros, Eftychios Protopapadakis, Ioannis Rallis   +3 more
doaj   +1 more source

An SMP Soft Classification Algorithm for Remote Sensing [PDF]

, 2012
This work introduces a symmetric multiprocessing (SMP) version of the continuous iterative guided spectral class rejection (CIGSCR) algorithm, a semiautomated classification algorithm for remote sensing (multispectral) images.
Easterling, David R., Phillips, Rhonda D., Watson, Layne T., Wynne, Randolph H.   +3 more
core   +1 more source

Identifying Quantum Phase Transitions using Artificial Neural Networks on Experimental Data

, 2018
Machine learning techniques such as artificial neural networks are currently revolutionizing many technological areas and have also proven successful in quantum physics applications.
Asteria, Luca, Becker, Christoph, Fläschner, Nick, Käming, Niklas, Rem, Benno S., Sengstock, Klaus, Tarnowski, Matthias, Weitenberg, Christof   +7 more
core   +1 more source

Classification software technique assessment [PDF]

A catalog of software options is presented for the use of local user communities to obtain software for analyzing remotely sensed multispectral imagery. The resources required to utilize a particular software program are described.
Atkinson, R., Dasarathy, B. V., Jayroe, R. R., Jr., Lybanon, M., Ramapryian, H. K.   +4 more
core   +1 more source

QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns [PDF]

, 2015
Given the extremely large pool of events and stories available, media outlets need to focus on a subset of issues and aspects to convey to their audience. Outlets are often accused of exhibiting a systematic bias in this selection process, with different
Danescu-Niculescu-Mizil, Cristian, Leskovec, Jure, Niculae, Vlad, Suen, Caroline, Zhang, Justine   +4 more
core   +1 more source

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

, 2019
Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable ...
Chen, Kwang-Cheng, Hanzo, Lajos, Jiang, Chunxiao, Ren, Yong, Wang, Jingjing, Zhang, Haijun   +5 more
core   +1 more source

Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, sparse self-representation has achieved remarkable success in hyperspectral band selection. However, the traditional sparse self-representation-based band selection methods tend to neglect the spatial distribution differences and ...
Baijia Fu, Xudong Sun, Chuanyu Cui, Jiahua Zhang, Xiaodi Shang   +4 more
doaj   +1 more source

Classifying adaxial and abaxial sides of diseased citrus leaves with selected hyperspectral bands and YOLOv8

Smart Agricultural Technology
Huanglongbing (HLB; citrus greening) and citrus canker are invasive diseases afflicting Florida citrus groves, causing financial losses through yield loss, smaller fruit, blemishes, premature fruit drop and/or eventual tree death.
Quentin Frederick, Thomas Burks, Pappu Kumar Yadav, Jianwei Qin, Moon Kim, Megan Dewdney   +5 more
doaj   +1 more source

An evaluation of thematic mapper simulator data for the geobotanical discrimination of rock types in Southwest Oregon [PDF]

Rock type identification may be assisted by the use of remote sensing of associated vegetation, particularly in areas of dense vegetative cover where surface materials are not imaged directly by the sensor.
Morrissey, L. A., Weinstock, K. J.
core   +1 more source