Application of object-based accuracy assessment for land cover classification using rapideye images in Southeastern Brazil

D.F.C. Prado, Luis M.T. de Carvalho

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Maps of land cover generated by Geographic Object-Based Image Analysis (GEOBIA) approach provide several advantages in relation to the pixel-based methodology, thus leading to significant gains for the accuracy of the final map. The accuracy indices that frequently express such gains are obtained from the traditional pixel-based validation. Then, given the absence of a validation representing the geographical object, new object-based methodologies to assess the accuracy have been developed with the similarity matrix STEP (Shape, Thematic, Edge and Position). In this sense, from the STEP methodology, this study aims to evaluate the thematic and geometric accuracy of land cover mapping generated by GEOBIA, as well as identify and analyse the main sources of errors. The study area is located in the municipalities of São José do Barreiro (São Paulo state) and Resende (Rio de Janeiro state), Southeastern Brazil. The map of land cover was generated from RapidEye Images acquired in year of 2011, with 5 m of spatial resolution. The global accuracy of the classification in relation to the traditional matrix was of 92%. The methodology integrates four similarity measurements (Shape, Thematic, Edge and Position), each one generating two error matrices (individual and aggregate thematic class). A global thematic accuracy of 76.6% was obtained, and for the measurements position (81.8%), edge (99.1%) and shape (93.3%). The methodology may be considered applicable and effective to validate thematic maps generated by GEOBIA. However, there are some limitations to be considered in relation to the size and extent of the objects.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages6
ISBN (Print)978-90-365-4201-2
DOIs
Publication statusPublished - 14 Sep 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sep 201616 Sep 2016
Conference number: 6
https://www.geobia2016.com/

Conference

Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
CountryNetherlands
CityEnschede
Period14/09/1616/09/16
Internet address

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