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Publication search results
found 100 matches
- 2021
- Xiongli Sun
, Qiqi Zhu, Qianqing Qin:
A Multi-Level Convolution Pyramid Semantic Fusion Framework for High-Resolution Remote Sensing Image Scene Classification and Annotation. IEEE Access 9: 18195-18208 (2021) - Bin Chen, Jing Li, Yufang Jin:
Deep Learning for Feature-Level Data Fusion: Higher Resolution Reconstruction of Historical Landsat Archive. Remote. Sens. 13(2): 167 (2021) - Chongjian Yuan, Xiyuan Liu, Xiaoping Hong, Fu Zhang:
Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments. CoRR abs/2103.01627 (2021) - 2020
- Le Yang
, Xing Wang
, Cuicui Zhang
, Jingsheng Zhai
:
Road Extraction Based on Level Set Approach From Very High-Resolution Images With Volunteered Geographic Information. IEEE Access 8: 178587-178599 (2020) - Chenxiao Zhang, Peng Yue, Deodato Tapete, Boyi Shangguan, Mi Wang, Zhaoyan Wu:
A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 88: 102086 (2020) - Wei Lu, Lee D. Han, Cheng Liu, Budhendra L. Bhaduri:
Correction to: Impacts of High Resolution Data on Traveler Compliance Levels in Emergency Evacuation Simulations. Int. J. Intell. Transp. Syst. Res. 18(3): 461 (2020) - Tengfei Bao, Chenqin Fu, Tao Fang, Hong Huo:
PPCNET: A Combined Patch-Level and Pixel-Level End-to-End Deep Network for High-Resolution Remote Sensing Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 17(10): 1797-1801 (2020) - Huiping Lin
, Chen Hang
, Kan Jin
, Liang Zeng, Jian Yang:
Ship Detection With Superpixel-Level Fisher Vector in High-Resolution SAR Images. IEEE Geosci. Remote. Sens. Lett. 17(2): 247-251 (2020) - Ying Guo, Zengyuan Li, Erxue Chen, Xu Zhang, Lei Zhao, Enen Xu, Yanan Hou, Rui Sun:
An End-to-End Deep Fusion Model for Mapping Forests at Tree Species Levels with High Spatial Resolution Satellite Imagery. Remote. Sens. 12(20): 3324 (2020) - Pawan Gupta, Lorraine Remer, Falguni Patadia, Robert C. Levy
, Sundar A. Christopher:
High-Resolution Gridded Level 3 Aerosol Optical Depth Data from MODIS. Remote. Sens. 12(17): 2847 (2020) - Wanwan Liang
, Mongi Abidi, Luis Carrasco
, Jack McNelis, Liem Tran, Yingkui Li
, Jerome Grant:
Mapping Vegetation at Species Level with High-Resolution Multispectral and Lidar Data Over a Large Spatial Area: A Case Study with Kudzu. Remote. Sens. 12(4): 609 (2020) - Jiale Jiang
, Qiaofeng Zhang, Xia Yao, Yongchao Tian
, Yan Zhu, Weixing Cao, Tao Cheng
:
HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4607-4626 (2020) - Stephan Brehm, Sebastian Scherer, Rainer Lienhart:
High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring. CVPR Workshops 2020: 1872-1881 - Shunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul Joo:
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization. CVPR 2020: 81-90 - Anton Sigitov, André Hinkenjann, Oliver G. Staadt:
Effect of User Roles on the Process of Collaborative 2D Level Design on Large, High-resolution Displays. VISIGRAPP (2: HUCAPP) 2020: 118-129 - Shunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul Joo:
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization. CoRR abs/2004.00452 (2020) - Ofer M. Shir, Xi Xing, Herschel Rabitz:
Multi-Level Evolution Strategies for High-Resolution Black-Box Control. CoRR abs/2010.01524 (2020) - Xiaoyu Xiang, Qian Lin, Jan P. Allebach:
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution. CoRR abs/2010.08919 (2020) - 2019
- Lu Xu, Weipeng Jing
, Houbing Song
, Guangsheng Chen:
High-Resolution Remote Sensing Image Change Detection Combined With Pixel-Level and Object-Level. IEEE Access 7: 78909-78918 (2019) - Zhifeng Zheng
, Jiannong Cao:
Fusion High-and-Low-Level Features via Ridgelet and Convolutional Neural Networks for Very High-Resolution Remote Sensing Imagery Classification. IEEE Access 7: 118472-118483 (2019) - Luoma Wan, Hongsheng Zhang, Guanghui Lin, Hui Lin:
A small-patched convolutional neural network for mangrove mapping at species level using high-resolution remote-sensing image. Ann. GIS 25(1): 45-55 (2019) - Elisabeth C. Caparelli, Thomas J. Ross, Hong Gu, Yihong Yang:
Factors Affecting Detection Power of Blood Oxygen-Level Dependent Signal in Resting-State Functional Magnetic Resonance Imaging Using High-Resolution Echo-Planar Imaging. Brain Connect. 9(8): 638-648 (2019) - Loudi Yap, Ludovic Houetchak Kandé, Robert Nouayou, Joseph Kamguia, Nasser Abdou Ngouh, Marie Brigitte Makuate:
Vertical accuracy evaluation of freely available latest high-resolution (30 m) global digital elevation models over Cameroon (Central Africa) with GPS/leveling ground control points. Int. J. Digit. Earth 12(5): 500-524 (2019) - Yixiang Chen, Zhiyong Lv, Bo Huang, Pengdong Zhang, Yu Zhang:
Automatic Extraction of Built-Up Areas from Very High-Resolution Satellite Imagery Using Patch-Level Spatial Features and Gestalt Laws of Perceptual Grouping. Remote. Sens. 11(24): 3022 (2019) - Jiguang Dai, Tingting Zhu, Yilei Zhang, Rongchen Ma, Wantong Li:
Lane-Level Road Extraction from High-Resolution Optical Satellite Images. Remote. Sens. 11(22): 2672 (2019) - Pinglan Ge, Hideomi Gokon, Kimiro Meguro, Shunichi Koshimura
:
Study on the Intensity and Coherence Information of High-Resolution ALOS-2 SAR Images for Rapid Massive Landslide Mapping at a Pixel Level. Remote. Sens. 11(23): 2808 (2019) - Senlin Guan
, Koichiro Fukami, Hitoshi Matsunaka, Midori Okami, Ryo Tanaka, Hiroshi Nakano
, Tetsufumi Sakai, Keiko Nakano, Hideki Ohdan, Kimiyasu Takahashi:
Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of Rice and Wheat Crops Using Small UAVs. Remote. Sens. 11(2): 112 (2019) - Erzhu Li, Alim Samat
, Wei Liu
, Cong Lin, Xuyu Bai:
High-Resolution Imagery Classification Based on Different Levels of Information. Remote. Sens. 11(24): 2916 (2019) - Wondwosen M. Seyoum
, Dongjae Kwon, Adam Milewski
:
Downscaling GRACE TWSA Data into High-Resolution Groundwater Level Anomaly Using Machine Learning-Based Models in a Glacial Aquifer System. Remote. Sens. 11(7): 824 (2019) - Rajat C. Shinde
, Abhishek V. Potnis
, Surya S. Durbha, Prakash Andugula:
Compressive Sensing Based Reconstruction and Pixel-Level Classification of Very High-Resolution Disaster Satellite Imagery Using Deep Learning. IGARSS 2019: 2639-2642
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