ECF-Net: lumber defect segmentation network with enhanced feature and content-aware fusion

Multimedia Systems, Journal Year: 2025, Volume and Issue: 31(3)

Published: April 29, 2025

Language: Английский

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Deep Learning-Based Multi-Scale Crack Image Segmentation and Improved Skeletonization Measurement Method

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 112727 - 112727

Published: May 1, 2025

Language: Английский

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SPIFFNet: A Statistical Prediction Interval-Guided Feature Fusion Network for SAR and Optical Image Classification

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(10), P. 1667 - 1667

Published: May 9, 2025

The problem of the feature extraction and fusion classification optical SAR data remains challenging due to differences in synthetic aperture radar (SAR) imaging mechanisms. To this end, a statistical prediction interval-guided network, SPIFFNet, is proposed for image classification. It consists two modules, propagation module (FPM) (FFM). Specifically, FPM imposes restrictions on scale factor batch normalization (BN) layer by means interval, features exceeding interval are considered redundant replaced from other modalities improve accuracy enhance information interaction. In stage, we combine channel attention (CA), spatial (SA), multiscale squeeze enhanced axial (MSEA) propose FFM fuse cross-modal cross-learning manner. counteract category imbalance, also implement weighted cross-entropy loss function. Extensive experiments three optical–SAR datasets show that SPIFFNet exhibits excellent performance.

Language: Английский

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UMIENet: Underwater image enhancement based on multi-degradation knowledge integration

Optics and Lasers in Engineering, Journal Year: 2025, Volume and Issue: 193, P. 109069 - 109069

Published: May 16, 2025

Language: Английский

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