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浏览/检索结果: 共8条，第1-8条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data 期刊论文 GEODERMA, 2021, 卷号: 384, 页码: 10 作者:  Zhang, Lei;  Yang, Lin;  Ma, Tianwu;  Shen, Feixue;  Cai, Yanyan 收藏  |  浏览/下载：28/0  |  提交时间：2021/03/15 Digital soil sampling  Machine learning  Semi-supervised learning  Self-training  Predictive mapping   Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps 期刊论文 GEODERMA, 2020, 卷号: 370, 页码: 11 作者:  Ma, Tianwu;  Brus, Dick J.;  Zhu, A-Xing;  Zhang, Lei;  Scholten, Thomas 收藏  |  浏览/下载：12/0  |  提交时间：2021/03/23 Soil sampling  Random forest  Similarity-based predictive soil mapping  K-means  Simulated annealing  Calibration sampling   Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China 期刊论文 ZEITSCHRIFT FUR GEOMORPHOLOGIE, 2017, 卷号: 61, 页码: 9-26 作者:  Zhao, Shangmin;  Cheng, Weiming;  Zhou, Chenghu;  Liu, Haijiang;  Su, Qiaomei 收藏  |  浏览/下载：85/0  |  提交时间：2019/05/30 vertical error distribution  MLR model  ASTER GDEM V2  ICESat/GLA14  land surface factors   Action recognition by joint learning 期刊论文 image and vision computing, 2016, 卷号: 55, 页码: 77-85 作者:  Yuan, Yuan;  Qi, Lei;  Lu, Xiaoqiang 收藏  |  浏览/下载：31/0  |  提交时间：2016/12/30 Computer vision  Action recognition  Sparse coding  Multinomial logistic regression (MLR)  Joint learning   Multiple Morphological Component Analysis Based Decomposition for Remote Sensing Image Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 5 作者:  Xu, Xiang;  Li, Jun;  Huang, Xin;  Mura, Mauro Dalla;  Plaza, Antonio 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05 Decomposition  image separation  multinomial logistic regression (MLR)  multiple morphological component analysis (MMCA)  sparse representation  textural features   Graphics processing unit-accelerated computation of the Markov random fields and loopy belief propagation algorithms for hyperspectral image classification 期刊论文 JOURNAL OF APPLIED REMOTE SENSING, 2015, 卷号: 9, 页码: 739-745 作者:  Wu, Yuanfeng;  Li, Jun;  Gao, Lianru;  Tan, Xuemin;  Zhang, Bing 收藏  |  浏览/下载：64/0  |  提交时间：2016/04/20 hyperspectral image classification  graphics processing units  Markov random fields  loopy belief propagation  spectral-spatial analysis  parallel computing   Subspace-Based Support Vector Machines for Hyperspectral Image Classification 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 2 作者:  Gao, Lianru;  Li, Jun;  Khodadadzadeh, Mahdi;  Plaza, Antonio;  Zhang, Bing 收藏  |  浏览/下载：17/0  |  提交时间：2016/04/20 Hyperspectral image classification  multinomial logistic regression (MLR)  subspace-based approaches  support vector machines (SVMs)   Hyperspectral image classification via contextual deep learning 期刊论文 EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2015, 卷号: 2015, 页码: - 作者:  Ma, Xiaorui;  Geng, Jie;  Wang, Hongyu 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/09 Hyperspectral image classification  Contextual deep learning  Multinomial logistic regression (MLR)  Supervised classification