ANÁLISE DE IMAGENS BASEADA EM OBJETOS GEOGRÁFICOS: COMPARAÇÃO DE REGRAS DE CLASSIFICAÇÃO DA COBERTURA DA TERRA
DOI:
https://doi.org/10.5380/raega.v56i0.84710Keywords:
classificação de imagens, Sensoriamento Remoto, GEOBIA, potencial de transferência.Abstract
Os níveis de automação do processo de classificação das imagens de satélite variam muito entre as diferentes pesquisas. Contudo, inúmeros trabalhos demonstraram que os procedimentos semiautomáticos, como a Análise de Imagens Baseada em Objetos Geográficos (GEOBIA), produzem melhores resultados. Este artigo tem como objetivo comparar os parâmetros de classificação desenvolvidos por quatro analistas distintos, que se basearam na mesma chave de interpretação, aplicados em duas cenas de Marília - SP. Visa avaliar o potencial de transferência das regras de classificação entre as diferentes áreas. Os resultados mostraram que os analistas optaram por diferentes: conjuntos de regras, atributos quantificáveis, limiares e níveis hierárquicos. No entanto, os índices kappa das classificações foram considerados muito bons. E, os conjuntos de regras produzidos por três analistas apresentaram elevada capacidade de transferência entre as cenas analisadas. Essa constatação ressalta a relevância de criar bibliotecas específicas para compartilhar os referidos procedimentos.
References
ALBRECHT, F.; LANG, S.; HÖLBLING, D. Spatial accuracy assessment of object boundaries for object-based image analysis. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, n. 1, p. 1–6, 2010.
ANDERS, N. S.; SEIJMONSBERGEN, A. C.; BOUTEN, W. Rule set transferability for object-based feature extraction: an example for cirque mapping. Photogrammetric Engineering & Remote Sensing, v. 81, n. 6, p. 507–514, 2015.
ARAUJO, A. S.; QUEIROZ, A. P. Spatial Characterization and Mapping of Gated Communities. International Journal of Geo-Information, v. 7, n. 7, 2018.
ARDELEAN, F.; DRĂGUŢ, L.; URDEA, P.; TÖRÖK-OANCE, M. Variations in landform definition: a quantitative assessment of differences between five maps of glacial cirques in the Ţarcu Mountains. Area, v. 45, n. 3, p. 348–357, 2013.
BAATZ, M.; SCHÄPE, A. Multi resolution Segmentation: an optimum approach for high quality multi scale image segmentation. In: STROBL, J.; BLASCHKE, T.; GRIESEBNER, G. (Eds.). Angewandte Geographische Informations-Verarbeitung XII. Karlsruhe: Wichmann Verlag, 2000. p. 12–23.
BELGIU, M.; DRĂGUŢ, L.; STROBL, J. Quantitative evaluation of variations in rule-based classifications of land cover in urban neighborhoods using WorldView-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing, v. 87, n. 1, p. 205–215, 2014.
BENZ, U. C.; HOFMANN, P.;WILLHAUCK, G.; LINGENFELDER, I.; HEYNEN, M. Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS ready information. ISPRS Journal of Photogrammetry and Remote Sensing, v. 65, n. 1, p. 2–16, 2004.
BLASCHKE, T. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, v. 65, n. 1, p. 2–16, 2010.
CHEN, G.; WENG, Q.; HAY, G. F.; HE, Y. Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities. GIScience & Remote Sensing, v. 55, n. 2, p. 159–182, 2018.
CIVCO, D. L.; HURD, J. D.; WILSON, E. H.; SONG, M.; ZHANG, Z. A comparison of land use and land cover change detection methods. ASPRS-ACSM ANNUAL CONFERENCE, Washington, DC. Anais...2002.
COLARES, I. V. V.; OLIVEIRA NUNES, M. T.; SOUSA, G. M.; FERNANDES, M. C. Aplicação de GEOBIA para classificação da cobertura da terra no Parque Nacional do Itatiaia. Revista Brasileira de Geomática, v. 3, n. 1, p. 24–31, 2015.
CONGALTON, R. G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing and Environment, v. 37, n. 1, p. 35–46, 1991.
DE LEEUW, J.; JIA, H.; YANG, L.; LIU, X.; SCHMIDT, K.; SKIDMORE, A. K. Comparing accuracy assessments to infer superiority of image classification methods. International Journal of Remote Sensing, v. 27, n. 1, p. 223–232, 2006.
DRĂGUŢ, L.; CSILLIK, O.; EISANK, C.; TIEDE, D. Automated parameterisation for multi-scale image segmentation on multiple layers. ISPRS Journal of Photogrammetry and Remote Sensing, v. 88, n. 1, p. 119–127, 2014.
DURO, D. C.; FRANKLIN, S. E.; DUBÉ, M. G. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery. Remote Sensing and Environment, v. 118, n. 1, p. 259–272, 2012.
FOODY, G. M. Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering & Remote Sensing, v. 70, n. 5, p. 627–634, 2004.
FOODY, G. M. Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification. Remote Sensing of Environment, v. 239, n. 1, p. 11–31, 2020.
FOTHERINGHAM A.S.; ROGERSON P. The SAGE Handbook of Spatial Analysis. SAGE Publications Ltd All, London. 2009.
FRANCISCO, C. N.; ALMEIDA, C. M. Interpretação de imagens orbitais por meio de sistema especialista para o mapeamento de cobertura da terra em região montanhosa. Sociedade e Natureza, v. 24, n. 2, p. 283–301, 2012.
GARDIN, S.; VAN LAERE, S. M.; VAN COLLIE, F. M. B.; ANSEEL, F.; DUYCK, W.; DE WULF, R. R.; VERBEKE, L. P. C. Remote sensing meets psychology: a concept for operator performance assessment. Remote Sensing Letters, v. 2, n. 3, p.251-257, 2011.
HAGGETT, P.; CHORLEY, R.J. Modelos, paradigmas e a Nova Geografia. In: CHORLEY, R.J.; HAGGETT, P. Rio de Janeiro: Livros Técnicos e Científicos Editora e EDUSP, p. 1-22, 1974.
HAMEDIANFAR, A.; SHAFRI, H. Z. M. Detailed intra-urban mapping through transferable OBIA rule sets using WorldView-2 very-high-resolution satellite images. International Journal of Remote Sensing, v. 36, n. 1, p. 3380–3396, 2015.
HAPP, P. N.; FEITOSA, R. Q.; STREET, A. Assessment of optimization methods for automatic tuning of segmentation parameters. Proceedings of the 4th GEOBIA. Anais...Rio de Janeiro: 2012
HARVEY, D. Modelos da evolução dos padrões espaciais na geografia. In: CHORLEY, R.J.; HAGGETT, P. Rio de Janeiro: Livros Técnicos e Científicos Editora e EDUSP, p. 101-155, 1974
HAY, G. J.; CASTILLA, G. Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline. In: BLASCHKE, T.; LANG, S.; HAY, G. J. (Eds.). Object-based image analysis. Berlin: Springer-Heidelberg, 2008. p. 75–89.
HEROLD, M.; MAYAUX, P.; WOODCOCK, C. E.; BACCINI, A.; SCHMULLIUS, C. Some challenges in global land cover mapping: an assessment of agreement and accuracy in existing 1 km datasets. Remote Sensing and Environment, v. 112, n. 5, p. 2538–2556, 2008.
HODGSON, M.; JENSEN, J. R.; TULLIS, J. A.; RIORDAN, K.; ARCHER, C. M. Synergistic use of lidar and color aerial photography for mapping urban parcel imperviousness. Photogrametric Engineering and Remote Sensing, v. 69, n. 9, p. 973–980, 2003.
JOHNSON, B. A.; BRAGAIS, M.; ENDO, I.; MAGCALE-MACANDOG, D. B.; MACANDOG, P. B. M. Image segmentation parameter optimization considering within-and between-segment heterogeneity at multiple scale levels: Test case for mapping residential areas using landsat imagery. ISPRS Journal of Photogrammetry and Remote Sensing, v. 4, n. 4, p. 2292–2305, 2015.
KERR, G. H. G.; FISCHER, C.; REULKE, R. Reliability assessment for remote sensing data: Beyond Cohen’s kappa. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). Anais...2015
KIM, M. WARNER, T. A.; MADDEN, M.; ATKINSON, D. S. Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects. International Journal of Remote Sensing, v. 32, n. 10, p. 2825–2850, 2011.
KOHLI, D.; WARWADEKAR, P.; KERLE, N.; SLIUZAS, R.; STEIN, A. Transferability of object-oriented image analysis methods for slum identification. Remote Sensing, v. 5, n. 9, p. 4209–4228, 2013.
LANDIS, R. J.; KOCH, G. G. The Masurement of Observed Agreement for Categorial Data. Biometrics, v. 33, n. 1, p. 159–174, 1977.
LIU, X.; HE, J.; YAO, Y.; ZHANG, J.; LIANG, H.; WANG, H.; HONG, Y. Classifying urban land use by integrating remote sensing and social media data. International Journal Geographical Information Science, v. 31, n. 8, p. 1675–1696, 2017.
MAHDAVI, S.; SALEHI. B.; GRANGER, J.; AMANI, M.; BRISCO, B.; HUANG, W. Remote sensing for wetland classification: A comprehensive review. GIScience & Remote Sensing, v. 55, n. 5, p. 623-658, 2018.
MAXWELL, A. E. et al. Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations. Remote Sensing, v. 11, n. 12, p. 1409–1429, 2019.
MYINT, S. W.; GOBER, P.; BRAZEL, A.; GROSSMAN-CLARKE, S.; WENG, Q. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sensing of Environment, v. 115, n. 5, p. 1145–1161, 2011.
NOVACK, T.; KUX, H.; FEITOSA, R. Q.; COSTA, G. A. A knowledge-based, transferable approach for block-based urban land-use classification. International Journal of Remote Sensing, v. 35, n. 13, p. 4739–4757, 2014.
PINHO, C. M. D.; FONSECA, L. M. G.; KORTING, T. S.; ALMEIDA, C. M. Land-cover classification of an intra-urban environment using high-resolution images and object-based image analysis. International Journal of Remote Sensing, v. 33, n. 19, p. 5973–5995, 2012.
PLATT, R. V.; RAPOZA, L. An evaluation of an object-oriented paradigm for land use/land cover classification. The Professional Geographer, v. 60, n. 1, p. 87–100, 2008.
PONTIUS JR, R. G.; MILLONES, M. Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing, v. 32, n. 15, p. 4407–4429, 2011.
PRADO, D. P.; RUIZ, L. A. Comparative of Machine Learning Algorithms and Datasets to Classify Natural Coverage in the Cajas National Park (Ecuador) Based on GEOBIA Approach. MULTIDISCIPLINARY DIGITAL PUBLISHING INSTITUTE PROCEEDINGS. Anais...2019
ROUSE JR, J. W. et al. Monitoring vegetation systems in the great plains with ERTS. Third ERTS symposium, NASA SP-351. Anais...Washington, D. C.: 1973
SCEPAN, J. Thematic validation of high-resolution global land-cover data sets. Photogrametric Engineering and Remote Sensing, v. 656, n. 1, p. 1051–1060, 1999.
TANG, H.; WU, W.; YANG, P.; PENG, Y.; VERBURGET, P.H. Recent progresses of land use and land cover change (LUCC) models. Acta Geographica Sinica – Chinese Edition, 2009. v. 64, p. 456-468
WHITESIDE, T.; AHMAD, W. A comparison of object-oriented and pixel-based classification methods for mapping land cover in northern Australia. SPATIAL INTELLIGENCE, INNOVATION AND PRAXIS: The national biennial conference of the Spatial Sciences Institute. Anais...2005
ZHA, Y.; GAO, J.; NI, S. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, v. 24, n. 3, p. 583–594, 2003.
ZHANG, X.; FENG, X.; XIAO, P.; HE, G.; ZHU, L. Segmentation quality evaluation using region based precision and recall measures for remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, v. 102, n. 1, p. 73–84, 2015.
ZHOU, W.; SCHWARZ, K.; CADENASSO, M. Mapping urban landscape heterogeneity: agreement between visual interpretation and digital classification approaches. Landscape and Ecology, v. 25, n. 1, p. 53–67, 2010.
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