This is the list of research papers of the Intelligent Interpretation Group of Remote Sensing Images, China University of Geosciences (Wuhan).
Each work contains 4 parts: paper, ppt, code, data
每篇论文包含4个部分: paper, ppt, code, data
The format of the folder name: year-journal abbreviation-the first author/the corresponding author-title
目录格式:年份-期刊简称-第一作者/通讯作者-论文题目
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W. Han, L. Wang, R. Feng, et al, “Sample Generation based on a Supervised Wasserstein Generative Adversarial Network for High-resolution Remote-sensing Scene Classification,” Inf. Sci. 2020, doi: 10.1016/j.ins.2020.06.018.
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W. Han, R. Feng, L. Wang, and J. Chen, “Supervised Generative Adversarial Network Based Sample Generation for Scene Classification,” pp. 3041–3044, 2019, doi: 10.1109/igarss.2019.8900525.
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Z. Chen, Y. Wang, W. Han, R. Feng, and J. Chen, “An Improved Pretraining Strategy-Based Scene Classification With Deep Learning,” IEEE Geosci. Remote Sens. Lett., vol. PP, pp. 1–5, 2019, doi: 10.1109/lgrs.2019.2934341.
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W. Han, R. Feng, L. Wang, and Y. Cheng, “A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification,” ISPRS J. Photogramm. Remote Sens., vol. 145, pp. 23–43, 2018, doi: 10.1016/j.isprsjprs.2017.11.004.
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W. Han, R. Feng, L. Wang, and L. Gao, “ADAPTIVE SPATIAL-SCALE-AWARE DEEP CONVOLUTIONAL NEURAL NETWORK FOR HIGH-RESOLUTION REMOTE SENSING,” pp. 4740–4743, 2018.