{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T22:12:40Z","timestamp":1769119960221,"version":"3.49.0"},"reference-count":37,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T00:00:00Z","timestamp":1711324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"data experts GmbH"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper introduces an AI-based approach to detect human-made objects and changes in these on land parcels. To this end, we used binary image classification performed by a convolutional neural network. Binary classification requires the selection of a decision boundary, and we provided a deterministic method for this selection. Furthermore, we varied different parameters to improve the performance of our approach, leading to a true positive rate of 91.3% and a true negative rate of 63.0%. A specific application of our work supports the administration of agricultural land parcels eligible for subsidiaries. As a result of our findings, authorities could reduce the effort involved in the detection of human made changes by approximately 50%.<\/jats:p>","DOI":"10.3390\/rs16071143","type":"journal-article","created":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T12:28:06Z","timestamp":1711369686000},"page":"1143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Object Identification in Land Parcels Using a Machine Learning Approach"],"prefix":"10.3390","volume":"16","author":[{"given":"Niels","family":"Gundermann","sequence":"first","affiliation":[{"name":"data experts GmbH, 17033 Neubrandenburg, Germany"},{"name":"Department of Computer Science and Media Technology, Faculty of Technology, Linnaeus University, 35195 V\u00e4xj\u00f6, Sweden"},{"name":"Department of Landscape Sciences and Geomatics, Hochschule Neubrandenburg, University of Applied Science, 17033 Neubrandenburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7565-3714","authenticated-orcid":false,"given":"Welf","family":"L\u00f6we","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Media Technology, Faculty of Technology, Linnaeus University, 35195 V\u00e4xj\u00f6, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7913-8592","authenticated-orcid":false,"given":"Johan E. S.","family":"Fransson","sequence":"additional","affiliation":[{"name":"Department of Forestry and Wood Technology, Faculty of Technology, Linnaeus University, 35195 V\u00e4xj\u00f6, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5844-6775","authenticated-orcid":false,"given":"Erika","family":"Olofsson","sequence":"additional","affiliation":[{"name":"Department of Forestry and Wood Technology, Faculty of Technology, Linnaeus University, 35195 V\u00e4xj\u00f6, Sweden"}]},{"given":"Andreas","family":"Wehrenpfennig","sequence":"additional","affiliation":[{"name":"Department of Landscape Sciences and Geomatics, Hochschule Neubrandenburg, University of Applied Science, 17033 Neubrandenburg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,25]]},"reference":[{"key":"ref_1","unstructured":"European Comission (2001). Manual of Concepts on Land Cover and Land Use Information Systems, Office for Publications of the European Communities. 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