机构

• 南海海洋研究所 [1]
• 地理科学与资源研究所 [1]
• 高能物理研究所 [1]
• 海洋研究所 [1]
• 烟台海岸带研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [5]

发表日期

• 2009 [5]

学科主题

• Instrument... [5]
• Electroche... [4]
• Analytical [2]
• Chemistry [2]
• Chemistry,... [2]

筛选

浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2009    学科主题：Instruments & Instrumentation     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 Potentiometric sensor based on molecularly imprinted polymer for determination of melamine in milk 期刊论文  OAI收割 SENSORS AND ACTUATORS B-CHEMICAL, 2009, 卷号: 141, 期号: 2, 页码: 544-550 作者:  Liang, Rongning;  Zhang, Ruiming;  Qin, Wei   |  收藏  |  浏览/下载：11/0  |  提交时间：2011/07/05 Molecularly Imprinted Polymer  Potentiometric Sensor  Melamine  Ion-selective Electrode  Flow Analysis   Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels 期刊论文  OAI收割 SENSORS, 2009, 卷号: 9, 期号: 2, 页码: 1221-1236 作者:  Li, Haiyan;  He, Yijun;  Wang, Wenguang;  He, YJ, Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Shandong, Peoples R China   |  收藏  |  浏览/下载：14/0  |  提交时间：2010/11/18 Polarimetric Sar  Co-polarization  Ship Detection  Convolution   Potentiometric sensor based on molecularly imprinted polymer for determination of melamine in milk 期刊论文  OAI收割 SENSORS AND ACTUATORS B-CHEMICAL, 2009, 卷号: 141, 期号: 2, 页码: 544-550 作者:  Liang, RN;  wqin@yic.ac.cn;  Qin, W;  Zhang, RM   |  收藏  |  浏览/下载：14/0  |  提交时间：2011/07/03 Molecularly Imprinted Polymer  Potentiometric Sensor  Melamine  Ion-selective Electrode  Flow Analysis   Plans for (P)over-barANDA online computing 期刊论文  OAI收割 JOURNAL OF INSTRUMENTATION, 2009, 卷号: 4, 页码: P11001 作者:  Lange, JS;  Jin, D;  Kirschner, D;  Kopp, A;  Kuhn, W 收藏  |  浏览/下载：23/0  |  提交时间：2016/06/29 Data acquisition circuits  Trigger algorithms   Advances in Multi-Sensor Data Fusion: Algorithms and Applications 期刊论文  OAI收割 With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of, 2009, 卷号: 9, 期号: 10, 页码: 7771-7784 作者:  Dong, Jiang;  Zhuang, Dafang(庄大方);  Huang, Yaohuan;  Fu, Jingying   |  收藏  |  浏览/下载：13/0  |  提交时间：2011/06/10 Multi-sensor  Data Fusion  Remote Sensing