TBFE: Twin-Branch Feature Extraction Module for Hyperspectral Image Classification

TBFE: Twin-Branch Feature Extraction Module for Hyperspectral Image Classification

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://www.sciencedirect.com/science/article/abs/pii/S1051200425000922?via%3Dihub TBFE (Twin-Branch Feature Extraction): A parallel fusion of 2D and 3D convolutions, used to extract spatial and spectral features respectively. HPA (Hybrid Pooling Attention): A designed attention mechanism that combines average pooling and max pooling to enhance channel representation in … Read more

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://www.sciencedirect.com/science/article/abs/pii/S1051200425000922 Proposed synergistic CNN-Transformer network, combining the local feature extraction capability of CNNs with the global modeling advantages of Transformers, while processing the spatial and spectral information of HSI. Designed Two-Branch Feature Extraction (TBFE) module, which utilizes 3D convolution (focusing on … Read more

(DSP 2025) Hyperspectral Image Classification Module: Plug-and-Play and Completely Crazy

(DSP 2025) Hyperspectral Image Classification Module: Plug-and-Play and Completely Crazy

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper link: https://doi.org/10.1016/j.dsp.2025.105070 1. Proposed Synergistic CNN-Transformer Network Structure: Combines the local spatial feature extraction capabilities of CNNs with the global spectral modeling capabilities of Transformers to comprehensively extract spatial-spectral features from hyperspectral images (HSI).2. Twin-Branch Feature Extraction Module (TBFE): Parallel combination of … Read more

Radar Sensor Network HRRP Unsupervised Feature Extraction Method

Radar Sensor Network HRRP Unsupervised Feature Extraction Method

Click the blue“Radar Journal”to follow Keywords: High-Resolution Range Profile / Target Recognition / Feature Extraction / Radar Sensor Network / Contrastive Learning Video playback on computerAddress (Radar Journal Bilibili Learning Platform): Short Video of the Paper | Radar Sensor Network HRRP Unsupervised Target Feature Extraction Method Based on Multiple Contrastive Loss Background Introduction The High-Resolution … Read more