It is based on the principle that similar areas have similar histograms. In this algorithm, the two-dimensional image information converts to the one- ...
Based on the principle that similar images have the similar histograms, this paper proposes a BP neural network target detection algorithm based on histogram.
A Target Detection Algorithm of Neural Network Based on Histogram ...
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A BP neural network target detection algorithm based on histogram statistics is proposed, based on the principle that similar areas have similar histograms, ...
In this paper, we analysis the statistical property of a kind of trunk clutter in FOPEN UWBSAR image from amplitude histogram, higher-order cumulant and clutter ...
An object detection method which is robust to the target rotation and scales is proposed based on the histogram feature and particle swarm optimization. First, ...
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Mar 25, 2024 · By using histogram features, local statistics of the feature maps from the convolution neural networks can be used to better represent the data.
Feb 4, 2022 · Using the neural network-based multi-peak analysis (NNMPA), introduced by us, including a physics-guided feature extraction and a distance prediction process.
A target detection algorithm of neural network based on histogram statistics. Paper Identifier, TH1.R2.4. Authors, Shuai Jiang, Yalong Pang, Luyuan Wang, Jiyang ...
We propose a target detection method based on a jump-connected pyramid model to improve the target detection performance of robots in complex scenarios.
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The results show that the classification algorithm performs promising results and ensures the robustness of the features extracted from histogram definitions of ...