Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Co...
摘要 文章針對修復壞波段（AQUA B6），恢復條帶損失，恢復雲污染提出了一個深度學習網絡結構，他說 To date, to the best of our knowledge, no studies investigating CNNs for the reconstruction of missing information in remote sensing imagery have mad
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相關文章
- 1. Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Co
- 2. Transferred Deep Learning-Based Change Detection in Remote Sensing Images
- 3. Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
- 4. A NOVEL DEEP FEATURE FUSION NETWORK FOR REMOTE SENSING SCENE CLASSIFICATION（論文翻譯）
- 5. A new deep convolutional neural network for fast hyperspectral image classification Review
- 6. 【論文翻譯】Spectral-Spatial Residual Network for Hyperspectral Image Classification A 3-D Deep Learning F
- 7. 場景分類綜述——Remote Sensing Image Scene Classification Meets Deep Learning
- 8. Land-cover classification with high-resolution remote sensing images using transferable deep models
- 9. A Unified Framework for Tumor ProliferationScore Prediction in Breast Histopathology
- 10. 【論文淺讀】《Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification》