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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：武汉大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 8 作者:  Shao, Zhenfeng;  Wang, Lei;  Wang, Zhongyuan;  Deng, Juan 收藏  |  浏览/下载：0/0  |  提交时间：2019/12/05 Coupled sparse autoencoder (CSAE)  image super-resolution (SR)  remote sensing image  sparse representation   Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 12 作者:  Zhang, Linjing;  Shao, Zhenfeng;  Liu, Jianchen;  Cheng, Qimin 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/05 LiDAR  Landsat 8 OLI  combined optical and LiDAR indices  synergy  Stacked Sparse Autoencoder network (SSAE)  forest aboveground biomass (AGB)   Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 12 作者:  Shao, Zhenfeng;  Zhang, Linjing;  Wang, Lei 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/05 Biomass  deep learning (DL)  Landsat 8  light detection and ranging (LiDAR)  stacked sparse autoencoder network (SSAE)  Sentinel-1A   Assessment of PD severity in gas-insulated switchgear with an SSAE 期刊论文 IET SCIENCE MEASUREMENT & TECHNOLOGY, 2017, 卷号: 11, 期号: 4 作者:  Tang, Ju;  Jin, Miao;  Zeng, Fuping;  Zhang, Xiaoxing;  Huang, Rui 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/05 partial discharge measurement  gas insulated switchgear  statistical analysis  neural nets  learning (artificial intelligence)  encoding  feature extraction  computerised instrumentation  PD severity assessment  gas-insulated switchgear  SSAE  partial discharge severity assessment  discharge time  discharge amplitude  deep-learning neural network model  stacked sparse autoencoder  feature extraction  soft-max classifier  unsupervised greedy layer-wise pre-training method  supervised fine-tuning method  support vector machine algorithm   Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 12 作者:  Tao, Chao;  Pan, Hongbo;  Li, Yansheng;  Zou, Zhengrou 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05 Hyperspectral imagery (HSI) classification  linear support vector machine  spectral-spatial feature learning  stacked sparse autoencoder (SSAE)