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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择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提交时间升序提交时间降序 A Dual-Path and Lightweight Convolutional Neural Network for High-Resolution Aerial Image Segmentation 期刊论文 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 12 作者:  Zhang, Gang;  Lei, Tao;  Cui, Yi;  Jiang, Ping 收藏  |  浏览/下载：12/0  |  提交时间：2021/05/06 remote sensing  convolutional neural networks  high-resolution aerial images  semantic segmentation  semantic boundaries  lightweight network   A Multi-View Dense Image Matching Method for High-Resolution Aerial Imagery Based on a Graph Network 期刊论文 REMOTE SENSING, 2016, 卷号: 8, 期号: 10 作者:  Yan, Li;  Fei, Liang;  Chen, Changhai;  Ye, Zhiyun;  Zhu, Ruixi 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/05 high-resolution aerial images  dense image matching (DIM)  MVS  SGM  graph network   Use of UAV oblique imaging for the detection of individual trees in residential environments 期刊论文 URBAN FORESTRY & URBAN GREENING, 2015 Lin, Yi; Jiang, Miao; Yao, Yunjun; Zhang, Lifu; Lin, Jiayuan 收藏  |  浏览/下载：2/0  |  提交时间：2017/12/03 Aerial oblique imaging  Individual tree detection  Residential environment  Ultra high spatial resolution  Unmanned aerial vehicle  UNMANNED AERIAL VEHICLE  REMOTE-SENSING DATA  VEGETATION FRACTION  IMAGES  EXTRACTION  RECONSTRUCTION  VERIFICATION  CAMERA   Damaged road extracting with high resolution aerial image of post-earthquake 会议论文 作者:  Zheng, Zezhong;  Pu, Chengjun;  Zhu, Mingcang;  Xia, Jun;  Zhang, Xiang 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/05 Damaged road extracting  mathematical morphology  k-means clustering algorithm  high resolution aerial images of post-earthquake   Panoramic aerial camera image motion measurement using a hybrid system (EI CONFERENCE) 会议论文 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China Li G.; Jia P. 收藏  |  浏览/下载：22/0  |  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.