Jan 25, 2021 · Convolutional neural networks (CNNs), being the current state of the art in deep learning [7], first achieved success in the field of image ...
Dec 8, 2023 · It extracts features layer by layer from basic connections when learning multidimensional array data, and uses four key designs to extract ...
Two-dimensional spectral image calibration based on feed-forward neural network · Engineering, Computer Science. 2017 International Joint Conference on Neural…
LAMOST光谱数据处理新技术研究，Two-dimensional spectral image calibration based on feed-forward neural network，Li Mingze,Haerken Hasitieer,Guo Ping,Duan ...
Feb 25, 2021 · Detection of colorectal carcinoma is performed visually by investigators and is confirmed pathologically. With hyperspectral imaging, an ...
Mar 16, 2020 · In this study, a similar superstructure-based optimization technique is proposed for the classification of two benchmark hyperspectral images.
Missing: calibration | Show results with:calibration
Pretrained networks, typically using ImageNet as the training dataset, were fine tuned to work with satellite imagery by removing the final one or two layers ...
Nov 6, 2023 · 2. Figure 2. A schematic illustration of an example of a fully connected feed-forward neural network ... Color Reproduction Based on Low ...
Mar 16, 2022 · 6, there are two kinds of phase-coded spectral imaging systems, namely DOE-Fresnel diffraction (left) and DOE-Lens system (right), different ...
May 28, 2020 · To achieve efficient lossless compression of hyperspectral images, we design a concatenated neural network, which is capable of extracting ...