An open source object-based framework to extract landform classes

Camargo, Pedro H. C.; Almeida, Cláudia Maria de; Costa, G. A. O. P.; Feitosa, Raul Queiroz; Oliveira, Dário Augusto Borges; Heipke, Christian; Ferreira, Rodrigo S.

doi:10.1016/j.eswa.2011.07.044

Cited by 14 publications

(9 citation statements)

References 20 publications

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“…um denominador comum que permita aplicá-las genericamente em qualquer paisagem que contenha a classe em questão. A importância de tornar as regras de decisão replicáveis, a fim de aumentar a aplicabilidade da técnica, também é algo sugerido por Camargo et al (2012), no mapeamento de áreas com características geomorfológicas similares. Como alternativas para a melhoria dos resultados obtidos, uma possibilidade seria, segundo o trabalho de Carvalho et al (2014), construir a rede semântica subdividindo-se os nós em nós-filhos, ou refinar os resultados buscando-se manualmente os limiares entre as classes por meio da análise de gráficos de histogramas.…”

Section: Resultsunclassified

“…Nessa classificação, a distinção entre alvos não se resume às características espectrais dos pixels, uma vez que são usados, como unidade de processamento, objetos segmentados com base em características comuns de forma, textura, espectro, vizinhança, geometria, entre outros. Estes atributos são, então, incorporados na classificação (Blaschke, 2010;Marpu et al, 2010;Camargo et al, 2012;Novack et al, 2014).…”

Section: Introductionunclassified

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Classificação orientada a objeto em associação às ferramentas reflectância acumulada e mineração de dados

Grande

Almeida

Cicerelli

2016

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi utilizar as técnicas de reflectância acumulada e mineração de dados, seguidas por classificação orientada a objeto, em imagens do sensor Operational Land Imager (OLI), satélite Landsat 8, para a classificação de vegetação nativa e cobertura agropecuária do Cerrado. Quatro imagens de reflectância foram utilizadas para a discriminação de seis classes -agricultura, pecuária, campo limpo úmido, savana, floresta e campo -, para a classificação do Parque Nacional das Emas, no Estado de Goiás, e adjacências. As imagens foram segmentadas para a extração de atributos espectrais de amostras e a aplicação de combinações de atributos (média + moda, todos os atributos) na mineração de dados. O programa Weka foi utilizado para a construção das árvores de decisão. Essa metodologia indicou que a diferenciação entre alvos aumentou a partir da acumulação temporal da reflectância, em todas as bandas e as classes, e a melhor imagem foi aquela do somatório das quatro datas. A classificação baseada na associação de atributos média + moda não apresentou impedimentos no processamento das regras de decisão, diferentemente da associação de todos os atributos. A classificação média + moda apresentou acurácia satisfatória (exatidão global, 69%; Kappa, 58%; e TAU, 63%). A integração dessas técnicas apresenta potencial para a diferenciação de vegetação nativa e antrópica do Cerrado.Termos para indexação: análise baseada em objeto, análise multitemporal, antropização, classificação supervisionada, mineração, sensoriamento remoto. Object-oriented classification in association with accumulated reflectance and data mining toolsAbstract -The objective of this work was to use the accumulated reflectance technique and data mining application, followed by object-oriented classification, in images of Operational Land Imager (OLI) sensor, Landsat 8, for the classification of native vegetation and agricultural coverage of Cerrado. Four reflectance images were used for the discrimination of six classes -agriculture, livestock, wetland, savannah, forest, and grassland -, for classification of Parque Nacional das Emas and surrounding areas in the state of Goiás, Brazil. The images were segmented for the extraction of sample spectral attributes and application of attribute combinations (mean + mode, all attributes) on data mining. The Weka software was used to construct the decision trees. This methodology indicated that the differentiation among targets increased from the temporal accumulation of the reflectance in all bands and classes, and that the optimal image was that of the sum of the four dates. The classification based on the attribute associations mean + mode showed no restraints in the decision rules processing, unlike the association of all attributes. The mean + mode classification showed a satisfactory accuracy (global accuracy, 69%; Kappa, 58%; and TAU, 63%). The integration of these techniques shows potential to differentiate native and anthropogenic vegetation in the Cerrado.

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Section: Resultsunclassified

Section: Introductionunclassified

Classificação orientada a objeto em associação às ferramentas reflectância acumulada e mineração de dados

Grande

Almeida

Cicerelli

2016

Pesq. agropec. bras.

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“…Desktop GIS software often offers functionality for remotely sensed data, while remote sensing software has also gained more mapmaking capabilities: thus the boundary between GIS and remote sensing software has diminished. Notable FOSS4geoinfo remote sensing software are: OSSIM: provides image geo-referencing and mosaicing, but the gui is not user-friendly; OpenDragon: "highquality, commercial-grade, free remote sensing image processing software to schools and universities" (OpenDragon, 2014); e-foto: "an educational photogrammetric softcopy kit" (Mota et al, 2012); InterImage: provides Object-Based Image Analysis (OBIA), which is dominated by the effective but expensive eCognition software (Camargo et al, 2012).…”

Section: Remote Sensing and Additional Geoinformatic Softwarementioning

confidence: 99%

Free software: A review, in the context of disaster management

Leidig

Teeuw²

2015

International Journal of Applied Earth Observation and Geoinfor

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a b s t r a c tThis article examines the nature of freely available geospatial software and information systems in the context of disaster management. The use of geospatial data is crucial to effective disaster management, from preparedness to response and recovery. However, to make efficient use of available data and information -before, during and after a disaster -reliable software is required. The software applications examined in this paper range from Geographical Information Systems, to the processing of remotely sensed images, crowd-source mapping, web applications and content management systems. Trends and challenges are considered, and guidelines are given, to foster and encourage the provision of information by Freeware and Open Source Software. Free geoinformatics can help to optimize the limited financial, technological and manpower resources that many organisations face, providing a sustainable input to analytical activities.

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“…Image processing [21] is another research domain in which FSS has emerged as a powerful tool. We can find several suites in the literature, such as InterIMAGE [83], which is a knowledge-based framework for the automatic interpretation of remote sensing GIS images. There are also several libraries for image processing available, such as Gestur [84], which is an open source library for software developers wishing to incorporate static and dynamic hand gesture recognition into their applications.…”

Section: Fuzzy Systems Software For Solving Specific Problems Of Imentioning

confidence: 99%

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

Alcalá‐Fdez

Alonso

2016

IEEE Trans. Fuzzy Syst.

106

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Fuzzy systems have been used widely thanks to their ability to successfully solve a wide range of problems in different application fields. However, their replication and application requires a high level of knowledge and experience. Furthermore, few researchers publish the software and/or source code associated with their proposals, which is a major obstacle to scientific progress in other disciplines and in industry. In recent years, most fuzzy system software has been developed in order to facilitate the use of fuzzy systems. Some software is commercially distributed but most software is available as free and open source software, reducing such obstacles and providing many advantages: quicker detection of errors, innovative applications, faster adoption of fuzzy systems, etc. In this paper, we present an overview of freely available and open source fuzzy systems software in order to provide a well-established framework that helps researchers to find existing proposals easily and to develop well founded future work. To accomplish this, we propose a twolevel taxonomy and we describe the main contributions related to each field. Moreover, we provide a snapshot of the status of the publications in this field according to the ISI Web of Knowledge. Finally, some considerations regarding recent trends and potential research directions are presented.

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An open source object-based framework to extract landform classes

Cited by 14 publications

References 20 publications

Classificação orientada a objeto em associação às ferramentas reflectância acumulada e mineração de dados

Classificação orientada a objeto em associação às ferramentas reflectância acumulada e mineração de dados

Free software: A review, in the context of disaster management

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

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