机构

• 自动化研究所 [3]
• 新疆生态与地理研究所 [1]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [3]
• 期刊论文 [2]

发表日期

• 2017 [2]
• 2014 [1]
• 2010 [2]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Cost-Effective Class-Imbalance Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images 期刊论文  OAI收割 REMOTE SENSING, 2017, 卷号: 9, 期号: 5, 页码: 494 作者:  Li, Feimo;  Li, Shuxiao;  Zhu, Chengfei;  Lan, Xiaosong;  Chang, Hongxing   |  收藏  |  浏览/下载：53/0  |  提交时间：2017/05/18 Vehicle Localization  Vehicle Classification  High Resolution  Aerial Image  Convolutional Neural Network (Cnn)  Class Imbalance   Efficient Vehicle Detection and Orientation Estimation by Confusing Subsets Categorization 会议论文  OAI收割 中国四川成都, 2016-12 作者:  Li FM(李非墨);  Lan XS(兰晓松);  Li SX(李书晓);  Zhu CF(朱承飞);  Chang HX(常红星)   |  收藏  |  浏览/下载：47/0  |  提交时间：2017/05/18 High Resolution Aerial Image  Vehicle Detection  Orientation Estimation   深度学习在航拍场景分类中的应用 期刊论文  OAI收割 计算机科学与探索, 2014, 卷号: 8, 期号: 3, 页码: 305-312 作者:  李晓龙;  张兆翔;  王蕴红;  刘庆杰;  Xiaolong Li   |  收藏  |  浏览/下载：22/0  |  提交时间：2017/02/09 Aerial Image  Scene Classification  Bags Of Feature  Deep Learning  High Resolution   Panoramic aerial camera image motion measurement using a hybrid system (EI CONFERENCE) 会议论文  OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China 作者:  Jia P. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 Image motion compensation is significantly important for aerial camera photograph. To execute the compensation  we must determine the image motion exactly. This paper proposes a method of real-time image motion measurement for panoramic aerial cameras based on image processing using a hybrid system. Two cameras are simultaneously used in the hybrid system. One main linear CCD for imaging  while the other auxiliary low resolution high frame rate area CCD for determining the image motion based on 2D spatial correlation. The demanding computational requirements for the real-time 2D spatial correlation are covered by a joint transform optical correlator. Simulation test results show that the accuracy is improved and the measurement error is within 0.2 pixels for input images with SNR=1 dB. 2010 IEEE.   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：44/0  |  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