FUSING DEEP LOCAL AND GLOBAL FEATURES FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION閱讀筆記
FUSING DEEP LOCAL AND GLOBAL FEATURES FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION –Keli Yan 注：不完全翻譯，僅供自己理解 稀疏表示的理解可參考：https://blog.csdn.net/Forever_pupils/article/details/88572281 摘要：高分辨率遙感影像場景分類問題由
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相關文章
- 1. 論文閱讀 《Multimodal Remote Sensing Image Registration Based on Image Transfer and Local Features》
- 2. 場景分類綜述——Remote Sensing Image Scene Classification Meets Deep Learning
- 3. 論文：Remote Sensing Image Scene Classification 代碼執行過程各種坑
- 4. 論文：Remote Sensing Image Scene Classification 代碼執行過程各類坑
- 5. A NOVEL DEEP FEATURE FUSION NETWORK FOR REMOTE SENSING SCENE CLASSIFICATION（論文翻譯）
- 6. Deep image prior閱讀筆記
- 7. Deep Image Prior 閱讀筆記
- 8. Deep Image Matting閱讀筆記
- 9. Sequential modeling of deep features for breast cancer histopathological image classification 論文閱讀
- 10. Aggregating Deep Convolutional Features for Image Retrieval閱讀筆記