Most cited papers in Automated Road and Building Extraction
What are the most cited papers in Automated Road and Building Extraction?
The most cited paper in Automated Road and Building Extraction is "The R*-tree: an efficient and robust access method for points and rectangles" (Norbert Beckmann, Hans‐Peter Kriegel, Ralf Schneider et al., 1990), with 4,188 citations. Next come "Road Extraction by Deep Residual U-Net" (3,178) and "Remote Sensing Image Scene Classification: Benchmark and State of the Art" (2,701).
Showing 50 of 99 papers. Every paper with more than 343 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | The R*-tree: an efficient and robust access method for points and rectangles Norbert Beckmann, Hans‐Peter Kriegel, Ralf Schneider et al. | May 1990 | 4,188 |
| 2 | Road Extraction by Deep Residual U-Net Zhengxin Zhang, Qingjie Liu, Yunhong Wang · IEEE Geoscience and Remote Sensing Letters | 8 Mar 2018 | 3,178 |
| 3 | Remote Sensing Image Scene Classification: Benchmark and State of the Art Gong Cheng, Junwei Han, Xiaoqiang Lu · Proceedings of the IEEE | 3 Apr 2017 | 2,701 |
| 4 | Simultaneous localization and mapping (SLAM): part II T.E.R. Bailey, Hugh F Durrant-Whyte · IEEE Robotics & Automation Magazine | 23 Aug 2006 | 2,559 |
| 5 | Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art Liangpei Zhang, Lefei Zhang, Bo Du · IEEE Geoscience and Remote Sensing Magazine | Jun 2016 | 2,237 |
| 6 | Background subtraction techniques: a review Massimo Piccardi | 12 Apr 2005 | 2,105 |
| 7 | Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set Shunping Ji, Shiqing Wei, Meng Lü · IEEE Transactions on Geoscience and Remote Sensing | 22 Aug 2018 | 1,969 |
| 8 | The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation Simon Jégou, Michal Drozdzal, David Vázquez et al. | Jul 2017 | 1,760 |
| 9 | Geographic Object-Based Image Analysis – Towards a new paradigm Thomas Blaschke, Geoffrey J. Hay, Maggi Kelly et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 10 Dec 2013 | 1,663 |
| 10 | Re-ranking Person Re-identification with k-Reciprocal Encoding Zhun Zhong, Liang Zheng, Donglin Cao et al. | Jul 2017 | 1,536 |
| 11 | Bag of Tricks and a Strong Baseline for Deep Person Re-Identification Hao Luo, Youzhi Gu, Xingyu Liao et al. | Jun 2019 | 1,522 |
| 12 | A survey on object detection in optical remote sensing images Gong Cheng, Junwei Han · ISPRS Journal of Photogrammetry and Remote Sensing | Apr 2016 | 1,481 |
| 13 | Nearest neighbor queries Nick Roussopoulos, Stephen Kelley, Frederic H. Vincent | 1995 | 1,414 |
| 14 | Learning Discriminative Features with Multiple Granularities for Person Re-Identification Guanshuo Wang, Yufeng Yuan, Xiong Chen et al. | 15 Oct 2018 | 1,201 |
| 15 | DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images İlke Demir, Krzysztof Koperski, David Lindenbaum et al. | Jun 2018 | 1,185 |
| 16 | T-drive Jing Yun Yuan, Yu Zheng, Chengyang Zhang et al. | 2 Nov 2010 | 1,103 |
| 17 | Satellite remote sensing of wetlands Stacy L. Özesmi, Marvin E. Bauer · Wetlands Ecology and Management | Oct 2002 | 1,101 |
| 18 | Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation Weiling Cai, Songcan Chen, Daoqiang Zhang · Pattern Recognition | 30 Sep 2006 | 1,091 |
| 19 | Omni-Scale Feature Learning for Person Re-Identification Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro et al. | Oct 2019 | 1,033 |
| 20 | Multi-class geospatial object detection and geographic image classification based on collection of part detectors Gong Cheng, Junwei Han, Peicheng Zhou et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 8 Nov 2014 | 997 |
| 21 | Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles Mathieu Fauvel, JÓn Atli Benediktsson, Jocelyn Chanussot et al. · IEEE Transactions on Geoscience and Remote Sensing | Nov 2008 | 986 |
| 22 | Pedestrian Detection via Classification on Riemannian Manifolds Oncel Tuzel, Fatih Porikli, Peter Meer · IEEE Transactions on Pattern Analysis and Machine Intelligence | 4 Aug 2008 | 981 |
| 23 | D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction Lichen Zhou, Chuang Zhang, Ming Wu | Jun 2018 | 955 |
| 24 | An evaluation of void‐filling interpolation methods for SRTM data Hannes Isaak Reuter, Andrew David Nelson, Andy Jarvis · International Journal of Geographical Information Systems | 4 Sep 2007 | 931 |
| 25 | Street view imagery in urban analytics and GIS: A review Filip Biljecki, Koichi Ito · Landscape and Urban Planning | 13 Aug 2021 | 912 |
| 26 | Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat et al. | Jul 2017 | 835 |
| 27 | SVDNet for Pedestrian Retrieval Yifan Sun, Liang Zheng, Weijian Deng et al. | Oct 2017 | 813 |
| 28 | Google Street View: Capturing the World at Street Level Dragomir Anguelov, Carole Dulong, Daniel J. Filip et al. · Computer | Jun 2010 | 798 |
| 29 | Map-matching for low-sampling-rate GPS trajectories Yin Lou, Chengyang Zhang, Yu Zheng et al. | 4 Nov 2009 | 796 |
| 30 | A review of deep learning methods for semantic segmentation of remote sensing imagery Xiaohui Yuan, Jianfang Shi, Lichuan Gu · Expert Systems with Applications | 15 Dec 2020 | 766 |
| 31 | Computing the shortest path: A search meets graph theory Andrew V. Goldberg, Chris Harrelson | 23 Jan 2005 | 730 |
| 32 | GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran Seyed Amir Naghibi, Hamid Reza Pourghasemi, Barnali Dixon · Environmental Monitoring and Assessment | 19 Dec 2015 | 706 |
| 33 | A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines Zikun Liu, Liu Yuan, Lubin Weng et al. | 2017 | 705 |
| 34 | Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective Mohammad D. Hossain, Dongmei Chen · ISPRS Journal of Photogrammetry and Remote Sensing | 25 Feb 2019 | 702 |
| 35 | A Survey of Digital Map Processing Techniques Yao‐Yi Chiang, Stefan Leyk, Craig A. Knoblock · ACM Computing Surveys | May 2014 | 694 |
| 36 | What makes Paris look like Paris? Carl Doersch, Saurabh Singh, Abhinav Gupta et al. · ACM Transactions on Graphics | Jul 2012 | 693 |
| 37 | Remote sensing platforms and sensors: A survey Charles K. Toth, G. Jóźków · ISPRS Journal of Photogrammetry and Remote Sensing | 25 Nov 2015 | 690 |
| 38 | Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS Omid Rahmati, Aliakbar Nazari Samani, Mohammad Mahdavi et al. · Arabian Journal of Geosciences | 23 Oct 2014 | 659 |
| 39 | Learning to Detect Roads in High-Resolution Aerial Images Volodymyr Mnih, Geoffrey E. Hinton · Lecture notes in computer science | 2010 | 638 |
| 40 | Automated parameterisation for multi-scale image segmentation on multiple layers Lucian Drăguţ, Ovidiu Csillik, Clemens Eisank et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 3 Jan 2014 | 632 |
| 41 | Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks Xueyun Chen, Shiming Xiang, Cheng‐Lin Liu et al. · IEEE Geoscience and Remote Sensing Letters | 25 Mar 2014 | 626 |
| 42 | Vehicular Ad Hoc Networks: A New Challenge for Localization-Based Systems Azzedine Boukerche, Horácio A.B.F. Oliveira, Eduardo Freire Nakamura et al. · Computer Communications | 8 Jan 2008 | 620 |
| 43 | Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities Lefei Zhang, Liangpei Zhang · IEEE Geoscience and Remote Sensing Magazine | 13 Apr 2022 | 596 |
| 44 | Geospatial big data handling theory and methods: A review and research challenges Songnian Li, Suzana Dragićević, Francesc Antón Castro et al. · Zurich Open Repository and Archive (University of Zurich) | 2016 | 578 |
| 45 | DeepRoadMapper: Extracting Road Topology from Aerial Images Gellért Máttyus, Wenjie Luo, Raquel Urtasun | Oct 2017 | 576 |
| 46 | Pedestrian Alignment Network for Large-scale Person Re-Identification Zhedong Zheng, Liang Zheng, Yi Ping Yang · IEEE Transactions on Circuits and Systems for Video Technology | 4 Oct 2018 | 560 |
| 47 | Saliency-Guided Unsupervised Feature Learning for Scene Classification Fan Zhang, Bo Du, Liangpei Zhang · IEEE Transactions on Geoscience and Remote Sensing | 25 Sep 2014 | 552 |
| 48 | THE ISPRS BENCHMARK ON URBAN OBJECT CLASSIFICATION AND 3D BUILDING RECONSTRUCTION Franz Rottensteiner, Gunho Sohn, Jaewook Jung et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences | 20 Jul 2012 | 524 |
| 49 | A New Growing Method for Simplex-Based Endmember Extraction Algorithm Che-Wei Chang, C.-C. Wu, Wei‐Min Liu et al. · IEEE Transactions on Geoscience and Remote Sensing | 29 Sep 2006 | 505 |
| 50 | Some terms of reference in data fusion Lucien Wald · IEEE Transactions on Geoscience and Remote Sensing | May 1999 | 504 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.