{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T16:12:26Z","timestamp":1780675946008,"version":"3.54.1"},"reference-count":50,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,18]],"date-time":"2021-03-18T00:00:00Z","timestamp":1616025600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014189","name":"Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry","doi-asserted-by":"publisher","award":["320051-3"],"award-info":[{"award-number":["320051-3"]}],"id":[{"id":"10.13039\/501100014189","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The boundary extraction of an object from remote sensing imagery has been an important issue in the field of research. The automation of farmland boundary extraction is particularly in demand for rapid updates of the digital farm maps in Korea. This study aimed to develop a boundary extraction algorithm by systematically reconstructing a series of computational and mathematical methods, including the Suzuki85 algorithm, Canny edge detection, and Hough transform. Since most irregular farmlands in Korea have been consolidated into large rectangular arrangements for agricultural productivity, the boundary between two adjacent land parcels was assumed to be a straight line. The developed algorithm was applied over six different study sites to evaluate its performance at the boundary level and sectional area level. The correctness, completeness, and quality of the extracted boundaries were approximately 80.7%, 79.7%, and 67.0%, at the boundary level, and 89.7%, 90.0%, and 81.6%, at the area-based level, respectively. These performances are comparable with the results of previous studies on similar subjects; thus, this algorithm can be used for land parcel boundary extraction. The developed algorithm tended to subdivide land parcels for distinctive features, such as greenhouse structures or isolated irregular land parcels within the land blocks. The developed algorithm is currently applicable only to regularly arranged land parcels, and further study coupled with a decision tree or artificial intelligence may allow for boundary extraction from irregularly shaped land parcels.<\/jats:p>","DOI":"10.3390\/rs13061167","type":"journal-article","created":{"date-parts":[[2021,3,18]],"date-time":"2021-03-18T22:19:36Z","timestamp":1616105976000},"page":"1167","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Development of a Parcel-Level Land Boundary Extraction Algorithm for Aerial Imagery of Regularly Arranged Agricultural Areas"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2589-1199","authenticated-orcid":false,"given":"Rokgi","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Rural Systems Engineering, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0096-0058","authenticated-orcid":false,"given":"Jinseok","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seongju","family":"Jang","sequence":"additional","affiliation":[{"name":"Department of Rural Systems Engineering, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyungjin","family":"Shin","sequence":"additional","affiliation":[{"name":"Rural Research Institute, Korea Rural Community Corporation, Ansan 15634, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1702-3199","authenticated-orcid":false,"given":"Hakkwan","family":"Kim","sequence":"additional","affiliation":[{"name":"Graduate School of International Agricultural Technology, Institutes of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6847-2472","authenticated-orcid":false,"given":"Inhong","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.isprsjprs.2008.01.002","article-title":"Populating a building multi representation data base with photogrammetric tools: Recent progress","volume":"63","author":"Daniel","year":"2008","journal-title":"ISPRS J. 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