Research graph
References from A hyperspectral and RGB crop pests/diseases image fusion method based on SADAE-GAN with combined perceptual gradient loss. Local targets link to admitted publications; unresolved targets remain external evidence.
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
10.1016/j.ecoinf.2023.101998 · 2023 · External reference
YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones
2023 · External reference
Pine wilt disease detection algorithm based on improved YOLOv5
10.3389/fpls.2024.1302361 · 2024 · External reference
A smart camera with integrated deep learning processing for disease detection in open field crops of grape, apple, and carrot
10.1002/rob.22510 · 2025 · External reference
Recent advances in image processing techniques for automated leaf pest and disease recognition – a review
2021 · External reference
Advances in hyperspectral data exploitation
10.3390/rs14205111 · 2022 · External reference
Pest identification via hyperspectral image and deep learning
10.1007/s11760-021-02029-7 · 2022 · External reference
Hyperspectral and 1D-CNN-based early monitoring study of mite infestation on Lycium barbarum sprouts
10.1155/ijo/4902089 · 2025 · External reference
Advancing wheat crop analysis: a survey of deep learning approaches using hyperspectral imaging
10.1016/j.compag.2025.110770 · 2025 · External reference
Fusion of hyperspectral imaging (HSI) and RGB for identification of soybean kernel damages using ShuffleNet with convolutional optimization and cross stage partial architecture
10.3389/fpls.2022.1098864 · 2023 · External reference
Improving the performance of image fusion based on visual saliency weight map combined with CNN
10.1109/access.2020.2982712 · 2020 · External reference
SFPFusion: an improved vision transformer combining super feature attention and wavelet-guided pooling for infrared and visible images fusion
10.3390/s23187870 · 2023 · External reference
An implicit transformer-based fusion method for hyperspectral and multispectral remote sensing image
2024 · External reference
CSPA-GAN: a cross-scale pyramid attention GAN for infrared and visible image fusion
10.1109/tim.2023.3317932 · 2023 · External reference
The generative adversarial networks and its application in machine vision
10.1080/17517575.2019.1701714 · 2022 · External reference
Deep learning enhancement of infrared face images using generative adversarial networks
10.1364/ao.57.000d98 · 2018 · External reference
A method for improving CNN-based image recognition using DCGAN
2018 · External reference
Pansharpening with matting model
10.1109/tgrs.2013.2286827 · 2014 · External reference
High-fidelity component substitution pansharpening by the fitting of substitution data
10.1109/tgrs.2014.2311815 · 2014 · External reference
Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters
10.1016/j.inffus.2015.11.003 · 2016 · External reference
Multi-focus image region fusion and registration algorithm with multi-scale wavelet
10.32604/iasc.2020.012159 · 2020 · External reference
A spatial and temporal reflectance fusion model considering sensor observation differences
10.1080/01431161.2013.777488 · 2013 · External reference
Spatial-spectral fusion by combining deep learning and variational model
10.1109/tgrs.2019.2904659 · 2019 · External reference
A survey of deep learning: platforms, applications and emerging rlesearch trends
10.1109/access.2018.2830661 · 2018 · External reference
A remote-sensing image pan-sharpening method based on multi-scale channel attention residual network
10.1109/access.2020.2971502 · 2020 · External reference
Combining convolutional attention module and convolutional auto-encoder for detail injection remote sensing image fusion
2022 · External reference
CIMFNet: cross-layer interaction and multiscale fusion network for semantic segmentation of high-resolution remote sensing images
10.1109/jstsp.2022.3159032 · 2022 · External reference
Multi-level optimal fusion algorithm for infrared and visible image
10.1007/s11760-023-02653-5 · 2023 · External reference
VMDM-fusion: a saliency feature representation method for infrared and visible image fusion
10.1007/s11760-021-01852-2 · 2021 · External reference
Mun-GAN: a multiscale unsupervised network for remote sensing image pansharpening
2023 · External reference
An unmixing-based multi-attention GAN for unsupervised hyperspectral and multispectral image fusion
10.3390/rs15040936 · 2023 · External reference
Satellite image fusion using cyclic spatio-spectral GAN model
10.1080/19479832.2023.2284776 · 2024 · External reference
MARTA GANs: unsupervised representation learning for remote sensing image classification
10.1109/lgrs.2017.2752750 · 2017 · External reference
Semi-supervised multitask deep convolutional generative adversarial network for unbalanced fault diagnosis of rolling bearing
10.1007/s40430-022-03576-x · 2022 · External reference
A noise robust convolutional neural network for image classification
10.1016/j.rineng.2021.100225 · 2021 · External reference
Defect identification of adhesive structure based on DCGAN and YOLOv5
10.1109/access.2022.3193775 · 2022 · External reference
A crash occurrence risk prediction model based on variational autoencoder and generative adversarial network
2024 · External reference
Image super-resolution with an enhanced group convolutional neural network
10.1016/j.neunet.2022.06.009 · 2022 · External reference
Score-guided generative adversarial networks
10.3390/axioms11120701 · 2022 · External reference
CycleGAN-based SAR-optical image fusion for target recognition
10.3390/rs15235569 · 2023 · External reference
An infrared and visible image fusion algorithm based on ResNet-152
10.1007/s11042-021-11549-w · 2022 · External reference
SSR-NET: SpatialSpectral reconstruction network for hyperspectral and multispectral image fusion
10.1109/tgrs.2020.3018732 · 2021 · External reference
Reconstruction of three-dimension digital rock guided by prior information with a combination of InfoGAN and style-based GAN
10.1016/j.petrol.2021.109590 · 2022 · External reference
QIS-GAN: a lightweight adversarial network with quadtree implicit sampling for multispectral and hyperspectral image fusion
2023 · External reference
Identification of maize leaf diseases using improved deep convolutional neural networks
10.1109/access.2018.2844405 · 2018 · External reference
