机构

• 地理科学与资源研究所 [8]
• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [11]

内容类型

• SCI/SSCI论文 [7]
• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2022 [1]
• 2019 [1]
• 2016 [3]
• 2015 [2]
• 2009 [2]
• 2006 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Fast and Slow Changes Constrained Spatio-Temporal Subpixel Mapping 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16 作者:  Zhang, Chengyuan;  Wang, Qunming;  Lu, Ping;  Ge, Yong;  Atkinson, Peter M.   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/09/21 Spatial resolution  Neurons  Monitoring  Image resolution  Uncertainty  Remote sensing  Satellites  Downscaling  Hopfield neural network (HNN)  land cover and land use (LCLU)  spatio-temporal dependence  subpixel mapping (SPM)  super-resolution mapping   Flexible Flow Shop Scheduling Method with Public Buffer 期刊论文  OAI收割 PROCESSES, 2019, 卷号: 7, 期号: 10, 页码: 1-23 作者:  Han ZH(韩忠华);  Han C(韩超);  Lin S(林硕);  Dong XT(董晓婷);  Shi HB(史海波)   |  收藏  |  浏览/下载：40/0  |  提交时间：2019/11/23 flexible flow shop  limited buffer  public buffer  Hopfield neural network  local scheduling  simulated annealing algorithm   An Iterative Interpolation Deconvolution Algorithm for Superresolution Land Cover Mapping SCI/SSCI论文  OAI收割 2016 作者:  Ling F.;  Foody, G. M.;  Ge, Y.;  Li, X. D.;  Du, Y.   |  收藏  |  浏览/下载：23/0  |  提交时间：2017/11/09 Deconvolution  interpolation  superresolution mapping (SRM)  remotely-sensed imagery  hopfield neural-network  sensing imagery  regularization  resolution  identification  information  model   An Iterative Interpolation Deconvolution Algorithm for Superresolution Land Cover Mapping SCI/SSCI论文  OAI收割 2016 作者:  Ling F.;  Foody, G. M.;  Ge, Y.;  Li, X. D.;  Du, Y. 收藏  |  浏览/下载：14/0  |  提交时间：2016/12/16 Deconvolution  interpolation  superresolution mapping (SRM)  remotely-sensed imagery  hopfield neural-network  sensing imagery  regularization  resolution  identification  information  model   Designing an Experiment to Investigate Subpixel Mapping as an Alternative Method to Obtain Land Use/Land Cover Maps SCI/SSCI论文  OAI收割 2016 作者:  Ge Y.;  Jiang, Y.;  Chen, Y. H.;  Stein, A.;  Jiang, D.   |  收藏  |  浏览/下载：18/0  |  提交时间：2017/11/09 subpixel mapping  downscaling  land use/land cover  experimental design  markov-random-field  remote-sensing imagery  hopfield neural-network  shifted images  sensed imagery  pixel  constraints  dependence  resolution  pattern   Hybrid Constraints of Pure and Mixed Pixels for Soft-Then-Hard Super-Resolution Mapping With Multiple Shifted Images SCI/SSCI论文  OAI收割 2015 作者:  Chen Y. H.;  Ge, Y.;  Heuvelink, G. B. M.;  Hu, J. L.;  Jiang, Y. 收藏  |  浏览/下载：29/0  |  提交时间：2015/12/09 Hybrid constraints  multiple shifted images (MSIs)  remotely sensed  imagery  super-resolution mapping (SRM)  hopfield neural-network  remote-sensing imagery  markov-random-field  land-cover  sensed imagery  spatial-resolution  hyperspectral imagery  contouring methods  attraction model  subpixel scale   Super-Resolution Land Cover Mapping Based on Multiscale Spatial Regularization SCI/SSCI论文  OAI收割 2015 作者:  Hu J. L.;  Ge, Y.;  Chen, Y. H.;  Li, D. Y. 收藏  |  浏览/下载：24/0  |  提交时间：2015/12/09 Fraction images  heterogeneity  homogeneity  multiscale  regularization  remote sensing  spatial dependence  super-resolution mapping (SRM)  markov-random-field  remotely-sensed images  hopfield neural-network  model  identification  dependence  algorithm  map   Development and Testing of a Subpixel Mapping Algorithm SCI/SSCI论文  OAI收割 2009 作者:  Ge Y. 收藏  |  浏览/下载：19/0  |  提交时间：2012/06/08 Land covers  mixed pixel  spatial distribution  subpixel mapping  hopfield neural-network  remotely-sensed images   Modification of Pixel-swapping Algorithm with Initialization from a Sub-pixel/pixel Spatial Attraction Model SCI/SSCI论文  OAI收割 2009 Shen Z. Q.; Qi J. G.; Wang K. 收藏  |  浏览/下载：14/0  |  提交时间：2012/06/08 hopfield neural-network  land-cover  imagery  classification  scales   A model of threat assessment based on discrete hopfield neural network (EI CONFERENCE) 会议论文  OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Changqing K.; Lihong G. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 A model of air strike target threat assessment based on Discrete Hopfield Neural Network (DHNN) was proposed. Analytic Hierarchy Process (AHP) was presented to obtain threat index weight. All neurons in the neural network were divided into a certain number of groups according to threat index weight. Each group of neurons corresponded to one threat index  and the problem of how to express weight in the neural network was solved. Target threat levels were given by DHNN according to target patterns. An example shows that neural network has real -time ability and is able to obtain real threat levels. 2006 IEEE.