机构

• 遥感与数字地球研究... [11]
• 地理科学与资源研究所 [5]
• 西安光学精密机械研究... [3]
• 深圳先进技术研究院 [2]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [22]

内容类型

• 会议论文 [22]

发表日期

• 2020 [1]
• 2018 [1]
• 2015 [1]
• 2012 [2]
• 2011 [2]
• 2010 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共22条，第1-10条 帮助 限定条件 内容类型：会议论文     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 HYPERSPECTRAL TARGET DETECTION VIA MULTIPLE INSTANCE LSTM TARGET LOCALIZATION NETWORK 会议论文  OAI收割 ELECTR NETWORK, 2020-09-26 作者:  Chen, XY;  Wang, XX;  Guo, CB;  Chen, C;  Gou, SP   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/09/02 hyperspectral  target detection  LSTM  multiple instance learning  labeling uncertainties   Agricultural Farming Can Play a Role in Assessing the Syrian Crisis Based on the Two River Basins in Syria 会议论文  OAI收割 杭州, 2018 作者:  Yuman Sun;  Hongzhong Li;  JinSong Chen;  Xiaoqing Zuo;  Yu Han   |  收藏  |  浏览/下载：16/0  |  提交时间：2019/01/31 REMOTELY SENSED LAND COVER CHANGE IN CENTRAL ASIA (1990-2010) 会议论文  OAI收割 MLCCM 2015, 长沙 作者:  Sun Bo;  Liu Ping;  Chen Huijuan;  Liu Jun;  Zhang Qingling 收藏  |  浏览/下载：13/0  |  提交时间：2016/01/27 On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文  OAI收割 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China 作者:  Yu P.;  Yu P.;  Gao X. 收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25 As an effective statistical learning tool  AdaBoosting has been widely used in the field of pattern recognition. In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy  the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality  whilst to remove noise bands simultaneously. Then  we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.   An Algorithm of Remote Sensing Image Fusion Based on Nonsubsampled Contourlet Transform 会议论文  OAI收割 2012 5th International Congress on Image and Signal Processing, New York Xu, Qilong; Zhou, Yi; Wang, Shixin; Li, Wenjun 收藏  |  浏览/下载：14/0  |  提交时间：2014/12/07 image fusion  nonsubsampled contourlet transform  human visual  characteristics  remotely sensed imagery  WAVELET TRANSFORM   Leaf area index estimation in Fujian province based on remotely sensed imagery 会议论文  OAI收割 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia, April 10, 2011 - April 15,2011 Zhang, Zhaoming; He, Guojin; Wang, Xiaoqin; Jiang, Hong 收藏  |  浏览/下载：14/0  |  提交时间：2014/12/07 Forestry  Atmospheric thermodynamics  Carbon  Environmental engineering  Estimation  Remote sensing   SIFT based registration of remotely-sensed imagery 会议论文  OAI收割 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011,, Hong Kong, China, June 18, 2011 - June 19,2011 Wang, Kai; Bo, Cheng 收藏  |  浏览/下载：10/0  |  提交时间：2014/12/07 Computer applications  Computer science  Image reconstruction  Remote sensing   Extraction of water bodies from remotely sensed images 会议论文  OAI收割 Chengdu, China, 2010-12-06 作者:  Liu, Jiahang;  Currit, Nate;  Meng, Xuelian;  Liu, J.   |  收藏  |  浏览/下载：11/0  |  提交时间：2017/09/13 Active Learning with Support Vector Machines in Remotely Sensed Image Classification 会议论文  OAI收割 Proceedings of the 2009 2nd International Congress on Image and Signal Processing, Vols 1-9, New York Sun, Zhichao; Liu, Zhigang; Liu, Suhong; Zhang, Yun; Yang, Bing 收藏  |  浏览/下载：15/0  |  提交时间：2014/12/07 remotely sensed imagery classification  active learning  support vector  machine   Building Extraction from High-resolution Remotely Sensed Imagery based on Morphology Characteristics 会议论文  OAI收割 Proceedings of SPIE-The International Society for Optical Engineering Xu X. L.; Feng X. F.; Wang C. H. 收藏  |  浏览/下载：16/0  |  提交时间：2012/06/30 high-resolution imagery  image segment  building extraction  morphology  characteristic  satellite imagery  ikonos imagery  urban areas  reconstruction  classification  segmentation  algorithms