{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T13:05:05Z","timestamp":1765976705560,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031407727"},{"type":"electronic","value":"9783031407734"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-40773-4_8","type":"book-chapter","created":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T11:02:16Z","timestamp":1692442936000},"page":"91-107","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic Forest Road Extraction from\u00a0LiDAR Data Using Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Paul","family":"Georges","sequence":"first","affiliation":[]},{"given":"Phuc","family":"Ngo","sequence":"additional","affiliation":[]},{"given":"Philippe","family":"Even","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,20]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","unstructured":"Clode, S., Rottensteiner, F., Kootsookos, P., Zelnicker, E.: Detection and vectorization of roads from lidar data. Photogramm. Eng. Remote Sens. 73(5), 517\u2013536 (2007). https:\/\/doi.org\/10.14358\/PERS.73.5.517","DOI":"10.14358\/PERS.73.5.517"},{"key":"8_CR2","unstructured":"David, N., Mallet, C., Pons, T., Chauve, A., Bretar, F.: Pathway detection and geometrical description from ALS data in forested montaneous areas. Int. Archives Photogramm., Remote Sens. Spatial Inform. Sci. 38(part 3\/W8), 242\u2013247 (2009)"},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Debled-Rennesson, I., Feschet, F., Rouyer-Degli, J.: Optimal blurred segments decomposition of noisy shapes in linear time. Comput. Graph. 30(1), 30\u201336 (2006). https:\/\/doi.org\/10.1016\/j.cag.2005.10.007","DOI":"10.1016\/j.cag.2005.10.007"},{"key":"8_CR4","doi-asserted-by":"publisher","unstructured":"Even, P., Grzesznik, A., Gebhardt, A., Chenal, T., Even, P., Ngo, P.: Interactive extraction of linear structures from LiDAR raw data for archaeomorphological structure prospection. Int. Archives Photogramm., Remote Sensing Spatial Inform. Sci. XLIII-B2-2021, pp. 153\u2013161 (2021). https:\/\/doi.org\/10.5194\/isprs-archives-XLIII-B2-2021-153-2021","DOI":"10.5194\/isprs-archives-XLIII-B2-2021-153-2021"},{"key":"8_CR5","unstructured":"Even, P., Ngo, P.: AMREL: Automatic mountain road extraction from LiDAR data. https:\/\/github.com\/evenp\/AMREL.git\/ (2022)"},{"key":"8_CR6","unstructured":"Even, P., Ngo, P.: ILSD: Interactive linear structure detector. https:\/\/github.com\/evenp\/ILSD.git\/ (2022)"},{"key":"8_CR7","doi-asserted-by":"publisher","unstructured":"Even, P., Ngo, P.: Live extraction of curvilinear structures from LiDAR raw data. ISPRS Ann. Photogramm. Remote Sensing Spatial Inform. Sci. 2 211\u2013219 (2020). https:\/\/doi.org\/10.5194\/isprs-annals-V-2-2020-211-2020","DOI":"10.5194\/isprs-annals-V-2-2020-211-2020"},{"key":"8_CR8","doi-asserted-by":"publisher","unstructured":"Even, P., Ngo, P.: Automatic forest road extraction from lidar data of mountainous areas. In: First Joint Conference on Discrete Geometry and Mathematical Morphology, pp. 93\u2013106 (2021). https:\/\/doi.org\/10.1007\/978-3-030-76657-3_6","DOI":"10.1007\/978-3-030-76657-3_6"},{"key":"8_CR9","doi-asserted-by":"publisher","unstructured":"Even, P., Ngo, P., Kerautret, B.: Thick line segment detection with fast directional tracking. In: Proceedings of 20th International Conference on Image Analysis and Processing, pp. 159\u2013170 (2019). https:\/\/doi.org\/10.1007\/978-3-030-30645-8_15","DOI":"10.1007\/978-3-030-30645-8_15"},{"key":"8_CR10","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.isprsjprs.2015.12.002","volume":"112","author":"A Ferraz","year":"2016","unstructured":"Ferraz, A., Mallet, C., Chehata, N.: Large-scale road detection in forested montainous areas using airborne topographic lidar data. ISPSR J. Photogramm. Remote Sensing 112, 23\u201336 (2016). https:\/\/doi.org\/10.1016\/j.isprsjprs.2015.12.002","journal-title":"ISPSR J. Photogramm. Remote Sensing"},{"key":"8_CR11","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press (2016)"},{"key":"8_CR12","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.isprsjprs.2016.04.003","volume":"118","author":"Z Hui","year":"2016","unstructured":"Hui, Z., Hu, Y., Jin, S., Yevenyo, Y.Z.: Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization. ISPRS J. Photogramm. Remote. Sens. 118, 22\u201336 (2016). https:\/\/doi.org\/10.1016\/j.isprsjprs.2016.04.003","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"key":"8_CR13","unstructured":"IGN: LIDAR HD - Une cartographie 3D du sol et du sursol de la France. https:\/\/geoservices.ign.fr\/lidarhd\/ (2022)"},{"key":"8_CR14","unstructured":"Keras: Python interface for artificial neural networks. https:\/\/keras.io\/ (2022)"},{"key":"8_CR15","unstructured":"Kraemer, C., et al.: Arch\u00e9oG\u00c9ographie du premier Remiremont et de ses abords : le Saint-Mont et le massif du Fossard. Rapport de Projet AGER 1, Universit\u00e9 de Lorraine (2018)"},{"key":"8_CR16","doi-asserted-by":"publisher","unstructured":"Liu, Q., Kampffmeyer, M., Jenssen, R., Salberg, A.B.: Road mapping in LiDAR images using a joint-task dense dilated convolutions merging network. In: IEEE International Geoscience and Remote Sensing Symposium, pp. 5041\u20135044 (2019). https:\/\/doi.org\/10.1109\/IGARSS.2019.8900082","DOI":"10.1109\/IGARSS.2019.8900082"},{"issue":"9","key":"8_CR17","doi-asserted-by":"publisher","first-page":"6309","DOI":"10.1109\/TGRS.2020.2976658","volume":"58","author":"Q Liu","year":"2020","unstructured":"Liu, Q., Kampffmeyer, M., Jenssen, R., Salberg, A.B.: Dense dilated convolutions\u2019 merging network for land cover classification. IEEE Trans. Geosci. Remote Sens. 58(9), 6309\u20136320 (2020). https:\/\/doi.org\/10.1109\/TGRS.2020.2976658","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"8_CR18","doi-asserted-by":"publisher","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: 7th International Conference on Learning Representations (2019). https:\/\/doi.org\/10.48550\/arXiv.1711.05101","DOI":"10.48550\/arXiv.1711.05101"},{"key":"8_CR19","doi-asserted-by":"publisher","first-page":"246","DOI":"10.5201\/ipol.2017.207","volume":"7","author":"O Merveille","year":"2017","unstructured":"Merveille, O., Naegel, B., Talbot, H., Najman, L., Passat, N.: 2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO). Image Processing On Line 7, 246\u2013261 (2017). https:\/\/doi.org\/10.5201\/ipol.2017.207","journal-title":"Image Processing On Line"},{"key":"8_CR20","doi-asserted-by":"publisher","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: 18$$^{th}$$ International Conference on Medical Image Computing and Computer-Assisted Interventions, pp. 234\u2013241 (10 2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"3","key":"8_CR21","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vision 115(3), 211\u2013252 (2015). https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int. J. Comput. Vision"},{"key":"8_CR22","doi-asserted-by":"publisher","unstructured":"Salberg, A.B., Trier, \u00d8.D., Kampffmeyer, M.: Large-scale mapping of small roads in lidar images using deep convolutional neural networks. In: Scandinavian Conference on Image Analysis, pp. 193\u2013204 (2017). https:\/\/doi.org\/10.1007\/978-3-319-59129-2_17","DOI":"10.1007\/978-3-319-59129-2_17"},{"key":"8_CR23","unstructured":"TensorFlow: Software library for machine learning and artificial intelligence. https:\/\/www.tensorflow.org\/ (2022)"},{"issue":"4","key":"8_CR24","doi-asserted-by":"publisher","first-page":"1120","DOI":"10.3390\/rs2041120","volume":"2","author":"RA White","year":"2010","unstructured":"White, R.A., Dietterick, B.C., Mastin, T., Strohman, R.: Forest roads mapped using LiDAR in steep forested terrain. Remote Sensing 2(4), 1120\u20131141 (2010). https:\/\/doi.org\/10.3390\/rs2041120","journal-title":"Remote Sensing"},{"key":"8_CR25","doi-asserted-by":"publisher","unstructured":"Woo, S., Park, J., Lee, J.Y., Kweon, I.S.: CBAM: Convolutional block attention module. In: Proceedings of the European Conference on Computer Vision, pp. 3\u201319 (2018). https:\/\/doi.org\/10.1007\/978-3-030-01234-2_1","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"8_CR26","doi-asserted-by":"publisher","unstructured":"Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. In: International Conference on Learning Representations (2016). https:\/\/doi.org\/10.48550\/arXiv.1511.07122","DOI":"10.48550\/arXiv.1511.07122"},{"issue":"3","key":"8_CR27","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1145\/357994.358023","volume":"27","author":"TY Zhang","year":"1984","unstructured":"Zhang, T.Y., Suen, C.Y.: A fast parallel algorithm for thinning digital patterns. Commun. ACM 27(3), 236\u2013239 (1984). https:\/\/doi.org\/10.1145\/357994.358023","journal-title":"Commun. ACM"}],"container-title":["Lecture Notes in Computer Science","Reproducible Research in Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-40773-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T11:03:12Z","timestamp":1692442992000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-40773-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031407727","9783031407734"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-40773-4_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"20 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RRPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Reproducible Research in Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montreal, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rrpr2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/rrpr2022.sciencesconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"9","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.8","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}