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A distributed system architecture for high-resolution remote sensing image retrieval by combining deep and traditional features 会议论文
作者:  Cheng, Qimin;  Shao, Kang;  Li, Chengyuan;  Li, Sen;  Li, Jinling
收藏  |  浏览/下载：9/0  |  提交时间：2019/12/05
Sparse coding for super-resolution via K-means classification 会议论文
作者:  Aoran, Xiao;  Zhenfeng, Shao;  Wang, Zhongyuan
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/05
Influence analysis of waterlogging based on deep learning model in Wuhan 会议论文
作者:  Pan, Yin;  Shao, Zhenfeng;  Cheng, Tao;  Wang, Zhiqiang;  Zhang, Zhaoyu
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05
Estimation of forest aboveground biomass using the integration of spectral and textural features from GF-1 satellite image 会议论文
作者:  Shao, Zhenfeng;  Wang, Zhiguo;  Zhang, Linjing
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
Combining spectral and texture features using random forest algorithm: Extracting impervious surface area in Wuhan 会议论文
作者:  Shao, Zhenfeng;  Zhang, Yuan;  Zhang, Lei;  Song, Yang;  Peng, Minjun
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/05
Fine-scale impervious surface extraction by fusing high resolution remote sensing images and vehicle digital measurable images 会议论文
作者:  Tang, Changzeng;  Song, Yang;  Shao, Zhenfeng;  Wu, Dewen
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/05
Deep feature representations for high-resolution remote sensing scene classification 会议论文
作者:  Zhou, Weixun;  Shao, Zhenfeng;  Cheng, Qimin
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05
Impacts of feature selection for urban impervious surface extraction using optical image and SAR data 会议论文
作者:  Fu, Huyan;  Shao, Zhenfeng;  Tu, Conghuan;  Zhang, Qian
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05
Long-term monitoring of the urban impervious surface mapping using time series Landsat imagery: A 23-year case study of the city of Wuhan in China 会议论文
作者:  Shao, Zhenfeng;  Zhang, Yuan;  Zhou, Weiqi
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05
COMBINING SPECTRAL AND TEXTURE FEATURES USING RANDOM FOREST ALGORITHM: EXTRACTING IMPERVIOUS SURFACE AREA IN WUHAN 会议论文
作者:  Shao, Zhenfeng;  Zhang, Yuan;  Zhang, Lei;  Song, Yang;  Peng, Minjun
收藏  |  浏览/下载：8/0  |  提交时间：2019/12/05

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