| dc.contributor | Universidade Estadual Paulista (UNESP) | |
| dc.creator | Santos Galvanin, Edineia Aparecida dos | |
| dc.creator | Dal Poz, Aluir Porfírio | |
| dc.date | 2014-05-20T13:22:36Z | |
| dc.date | 2016-10-25T16:43:44Z | |
| dc.date | 2014-05-20T13:22:36Z | |
| dc.date | 2016-10-25T16:43:44Z | |
| dc.date | 2012-03-01 | |
| dc.date.accessioned | 2017-04-05T19:54:51Z | |
| dc.date.available | 2017-04-05T19:54:51Z | |
| dc.identifier | IEEE Transactions on Geoscience and Remote Sensing. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 50, n. 3, p. 981-987, 2012. | |
| dc.identifier | 0196-2892 | |
| dc.identifier | http://hdl.handle.net/11449/6660 | |
| dc.identifier | http://acervodigital.unesp.br/handle/11449/6660 | |
| dc.identifier | 10.1109/TGRS.2011.2163823 | |
| dc.identifier | WOS:000300724300025 | |
| dc.identifier | http://dx.doi.org/10.1109/TGRS.2011.2163823 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/855508 | |
| dc.description | This paper proposes a method for the automatic extraction of building roof contours from a digital surface model (DSM) by regularizing light detection and ranging (LiDAR) data. The method uses two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region-merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. The optimal configuration of building roof contours is found by minimizing the energy function using a simulated annealing algorithm. Experiments carried out with the LiDAR-based DSM show that the proposed method works properly, as it provides roof contour information with approximately 90% shape accuracy and no verified false positives. | |
| dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
| dc.language | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.relation | IEEE Transactions on Geoscience and Remote Sensing | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Building roof contours | |
| dc.subject | digital surface model (DSM) | |
| dc.subject | Markov random field (MRF) | |
| dc.subject | simulated annealing (SA) | |
| dc.title | Extraction of Building Roof Contours From LiDAR Data Using a Markov-Random-Field-Based Approach | |
| dc.type | Otro | |
