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5 papers · 2 filters
MoistNet: Machine Vision-based Deep Learning Models for Wood Chip Moisture Content Measurement
Abdur Rahman, Jason Street, James Wooten +4
Quick and reliable measurement of wood chip moisture content is an everlasting problem for numerous forest-reliant industries such as biofuel, pulp and paper, and bio-refineries. M…
Activation Function Optimization Scheme for Image Classification
Abdur Rahman, Lu He, Haifeng Wang
Activation function has a significant impact on the dynamics, convergence, and performance of deep neural networks. The search for a consistent and high-performing activation funct…
BihoT: A Large-Scale Dataset and Benchmark for Hyperspectral Camouflaged Object Tracking
Hanzheng Wang, Wei Li, Xiang-Gen Xia +1
Hyperspectral object tracking (HOT) has exhibited potential in various applications, particularly in scenes where objects are camouflaged. Existing trackers can effectively retriev…
SSF-Net: Spatial-Spectral Fusion Network with Spectral Angle Awareness for Hyperspectral Object Tracking
Hanzheng Wang, Wei Li, Xiang-Gen Xia +2
Hyperspectral video (HSV) offers valuable spatial, spectral, and temporal information simultaneously, making it highly suitable for handling challenges such as background clutter a…
Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture
Vaishali Swaminathan, J. Alex Thomasson, Robert G. Hardin +1
Radiometric accuracy of data is crucial in quantitative precision agriculture, to produce reliable and repeatable data for modeling and decision making. The effect of exposure time…