Suchergebnisse - Multispectral image fusion by convolutional autoencoder

Convolutional Autoencoder-Based Multispectral Image Fusion von Azarang, Arian, Manoochehri, Hafez E., Kehtarnavaz, Nasser

“… Low resolution multispectral images are then fed into the trained convolutional autoencoder network to generate estimated high resolution multispectral images …”
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A Pansharpening Based on the Non-Subsampled Contourlet Transform and Convolutional Autoencoder: Application to QuickBird Imagery von Smadi, Ahmad Al, Yang, Shuyuan, Abugabah, Ahed, Alzubi, Ahmad Ali, Sanzogni, Louis

“… Low-resolution multispectral images are then fed into the trained convolutional autoencoder network to generate estimated high-resolution multispectral images …”
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TMAR: 3-D Transformer Network via Masked Autoencoder Regularization for Hyperspectral Sharpening von Dehghan, Zeinab, Yang, Jingxiang, Yazdi, Mehran, Khader, Abdolraheem, Xiao, Liang

“… Fusion-based hyperspectral super-resolution techniques are utilized to increase the spatial resolution of a hyperspectral image (HSI …”
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AVAFN-adaptive variational autoencoder fusion network for multispectral image von Chu, Wen-Lin, Tu, Ching-Che, Jian, Bo-Lin

“… This study introduces the Adaptive Variational Autoencoder Image Fusion Network (AVAFN), enhancing the Variational Autoencoder (VAE …”
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Convolutional autoencoder pan-sharpening method for spectral indices in landsat 8 images von Costa, Jessica da Silva, Araki, Hideo

“… Thus, this study aimed to develop a PS method based on convolutional autoencoder (CAE) for Landsat 8 images and evaluate its performance in calculating spectral indices …”
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FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion von Wang, Zhengjue, Chen, Bo, Lu, Ruiying, Zhang, Hao, Liu, Hongwei, Varshney, Pramod K.

“… Fusing a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI …”
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Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images von Liu, Sicong, Zhao, Hui, Du, Qian, Bruzzone, Lorenzo, Samat, Alim, Tong, Xiaohua

“… ) images are the most popular data that are used in remote sensing among applications. This article proposes a novel cross-resolution hidden layer feature fusion (CRHFF …”
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Multiscale spatial–spectral transformer network for hyperspectral and multispectral image fusion von Jia, Sen, Min, Zhichao, Fu, Xiyou

“… Fusing hyperspectral images (HSIs) and multispectral images (MSIs) is an economic and feasible way to obtain images with both high spectral resolution and spatial resolution …”
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Multispectral Image Super Resolution with Auto-Encoder Model and Fusion Technique von Reddy, Kasu Ameesh, Teja, Potti Sri Venkata Surya Pavan, Teja, Grandhi Krishna, Divya, Karanam, Aravinth, J

“… and previously various other methods like pansharpening have been introduced. This paper proposes a novel convolutional auto-encoder for training the multispectral images …”
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DAMS: Dilated Attention with Multi-Stream Learning for Super-Resolution of Hyperspectral Remote Sensing Images von Li, Sheng, Xu, Ruoqing, Su, Yuanchao, Gao, Lianru, Sun, Xu, Ren, Longfei, Zhu, Zhiqing

“… The network comprises three autoencoders, incorporating dilated residual multipath feature extraction for high-resolution multispectral images and a dense convolutional neural network for low …”
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Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images von Gallo, Ignazio, Boschetti, Mirco, Rehman, Anwar Ur, Candiani, Gabriele

“… The proposed method comprises pre-training and fine-tuning procedures: in the first stage, a de-noising Convolutional Autoencoder is trained using pairs of noisy and clean CHIME-like images …”
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Detail Injection-Based Convolutional Auto-Encoder for Pansharpening von Li, Ming, Li, Jingzhi, Liu, Yuting, Liu, Fan

“… The excellent ability of convolutional autoencoder (CAE) networks to retain image information enables its application to remote sensing image fusion …”
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Self-Supervised Deep Multi-Level Representation Learning Fusion-Based Maximum Entropy Subspace Clustering for Hyperspectral Band Selection von Wang, Yulei, Ma, Haipeng, Yang, Yuchao, Zhao, Enyu, Song, Meiping, Yu, Chunyan

“… between the encoder layers of the deep-stacked convolutional autoencoder and its corresponding …”
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Crop-Planting Area Prediction from Multi-Source Gaofen Satellite Images Using a Novel Deep Learning Model: A Case Study of Yangling District von Kuang, Xiaofei, Guo, Jiao, Bai, Jingyuan, Geng, Hongsuo, Wang, Hui

“… This method combines the benefits of the stacked autoencoder network for data dimensionality reduction, and the convolutional neural network for classification …”
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Vector-quantized dual-branch fusion network for robust image fusion and anomaly suppression von Huang, Siyang, Su, Shaojing, Wei, Junyu, Hu, Liushun, Cheng, Zhangjunjie

“… ), 7/11 for cloud degraded visible-SAR fusion (GF-cloud), and top tier performance in low-light multispectral fusion (MSRS …”
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Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery von Liu, Xu, Jiao, Licheng, Zhao, Jiaqi, Zhao, Jin, Zhang, Dan, Liu, Fang, Yang, Shuyuan, Tang, Xu

“… In this paper, an end-to-end learning framework based on deep multiple instance learning (DMIL) is proposed for MS and PAN images' classification using the joint spectral and spatial information based on feature fusion …”
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Hierarchical Self-Attention-Based Unified Reconstruction Network for Hyperspectral Image Super-Resolution von Zhang, Xiurui, Xu, Yilin, Xu, Jin, Su, Yuanchao, Jiang, Mengying, Bi, Haixia

“… ), a deep learning framework that introduces a new self-attention mechanism to autoencoders to effectively fuse HSI and multispectral images …”
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A Survey of Deep Learning-based Pan-sharpening Techniques for Remote Sensing Images von Koohi, Mahdi

“… Pan-sharpening enhances the spatial resolution of multispectral images by fusing them with high-resolution panchromatic images …”
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Advanced Plant Disease Segmentation in Precision Agriculture Using Optimal Dimensionality Reduction With Fuzzy C-Means Clustering and Deep Learning von Bhatti, Mughair, Zeeshan, Zeeshan, MS, Syam, Bhatti, Uzair, Khan, Asad, Ghadi, Yazeed Yasin, Alsenan, Shrooq, Li, Yang, Asif, Muhammad, Afzal, Tahreem

“… ) strategies for the inherent complexity and uncertainty of the data are highly necessary. The fusion of fuzzy logic with DR techniques offers potential promises to refine …”
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