中国科学院机构知识库网格系统: 检索

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	SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition 期刊论文 OAI收割 JOURNAL OF MACHINE LEARNING RESEARCH, 2019, 卷号: 20, 页码: 8 作者: Chen, Yuntao; Han, Chenxia; Li, Yanghao; Huang, Zehao; Jiang, Yi \| 收藏 \| 浏览/下载：58/0 \| 提交时间：2019/12/16 Object Detection Instance Recognition Distributed Training Mixed Precision Training
	Subpixel Land Cover Mapping Using Multiscale Spatial Dependence 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 9, 页码: 5097-5106 作者: Chen, Yuehong; Ge, Yong; Chen, Yu; Jin, Yan; An, Ru \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2019/05/23 Mixed object multiscale spatial dependence (MSD) remotely sensed imagery subpixel mapping (SPM)
	Enhancing Land Cover Mapping through Integration of Pixel-Based and Object-Based Classifications from Remotely Sensed Imagery 期刊论文 OAI收割 REMOTE SENSING, 2018, 卷号: 10, 期号: 1, 页码: 15 作者: Chen, Yuehong; Zhou, Ya'nan; Ge, Yong; An, Ru; Chen, Yu \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2019/05/30 land cover mapping mixed object uncertainty pixel-based classification object-based classification integration
	The linear sampling method for inhomogeneous medium and buried objects from far field measurements 期刊论文 OAI收割 APPLIED NUMERICAL MATHEMATICS, 2016, 卷号: 105, 页码: 82-95 作者: Qin, Haihua; Liu, Xiaodong \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/07/30 Inverse acoustic scattering Linear sampling method Mixed reciprocity principle Inhomogeneous background Buried object
	多目标识别RFID系统优化关键技术研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 作者: 程虹收藏 \| 浏览/下载：73/0 \| 提交时间：2015/09/02 多目标识别RFID系统优化 RFID系统建模混合现实RFID仿真系统多天线部署优化多标签部署优化 Multi-object Identification RFID system Optimization RFID system modeling Mixed-Reality RFID simulation system Multi-antenna placement Multi-tag placement
	Improvement of urban land use and land cover classification approach in arid areas 会议论文 OAI收割 Proceedings of SPIE - The International Society for Optical Engineering, Image and Signal Processing for Remote Sensing XVI, Toulouse, France, 2010 Qian; Jing1; 2; Zhou; Qiming1; Chen; Xi2 收藏 \| 浏览/下载：35/0 \| 提交时间：2011/08/23 Arid regions - Image analysis - Image classification - Land use - Landforms - Maximum likelihood - Photography - Pixels - Remote sensing - Signal processing - Aerial Photographs - Arid area - Bare soils - Beijing-1 - Built-up areas - Classification approach - Classification results - Construction materials - Data sets - Discrete elements - Extraction accuracy - Field investigation - High resolution image - Land-cover types - Landsat ETM - Maximum likelihood classifications - Mixed pixel - Multi-sensor data - Object oriented - object-oriented classification method - Object-oriented processing - Spectral characteristics - Stony deserts - Urban areas - Urban change detection - Urban environments - Urban land use