Defining Robustness Measures for OBIA Framework: A Case Study for Detecting Informal Settlements

[1]  H. Taubenböck,et al.  The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data , 2014 .

[2]  L. Durieux,et al.  Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective , 2013 .

[3]  Ali Shahrokni,et al.  A systematic review of software robustness , 2013, Inf. Softw. Technol..

[4]  K. Oštir,et al.  Object-Based Image Analysis of VHR Satellite Imagery for Population Estimation in Informal Settlement Kibera-Nairobi, Kenya , 2012 .

[5]  Oleksandr Kit,et al.  Texture-based identification of urban slums in Hyderabad, India using remote sensing data , 2012 .

[6]  Alfred Stein,et al.  An ontology of slums for image-based classification , 2012, Comput. Environ. Urban Syst..

[7]  P. Hofmann,et al.  Quantifying the robustness of fuzzy rule sets in object-based image analysis , 2011 .

[8]  Ethiopia Population Sub-program AFRICAN POPULATION AND HEALTH RESEARCH CENTER , 2009 .

[9]  Wolfram Mauser,et al.  Integrative Assessment of Informal Settlements Using VHR Remote Sensing Data—The Delhi Case Study , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  Hui Zhang,et al.  Image segmentation evaluation: A survey of unsupervised methods , 2008, Comput. Vis. Image Underst..

[11]  Monika Kuffer,et al.  Analysing the spatial heterogeneity of poverty using remote sensing : typology of poverty areas using selected RS based indicators , 2008 .

[12]  M. Baatz,et al.  Progressing from object-based to object-oriented image analysis , 2008 .

[13]  Sidharta Gautama,et al.  Quantitative segmentation evaluation for large scale mapping purposes , 2008 .

[14]  M. Neubert,et al.  ASSESSMENT OF REMOTE SENSING IMAGE SEGMENTATION QUALITY , 2008 .

[15]  P. Hofmann,et al.  Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach , 2008 .

[16]  H. Kitano Towards a theory of biological robustness , 2007, Molecular systems biology.

[17]  Monika Kuffer,et al.  Monitoring the development of informal settlements in Ulaanbaatar, Mongolia , 2004 .

[18]  M. Davis Planet of Slums , 2004 .

[19]  U. Benz,et al.  Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .

[20]  Christiane Weber,et al.  Urbanization pressure and modeling of urban growth: example of the Tunis Metropolitan Area , 2003 .

[21]  Erica Jen,et al.  Stable or robust? What's the difference? , 2003, Complex..

[22]  M. Betsill,et al.  Cities and climate change , 2002 .

[23]  Josef Strobl,et al.  What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS , 2001 .

[24]  Kazimierz Subieta Mapping Heterogenous Ontologies through Object Views , 2000, EFIS.

[25]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[26]  Daniel P. Siewiorek,et al.  Automated robustness testing of off-the-shelf software components , 1998, Digest of Papers. Twenty-Eighth Annual International Symposium on Fault-Tolerant Computing (Cat. No.98CB36224).

[27]  Sheri Berman,et al.  Civil Society and the Collapse of the Weimar Republic , 1997, World Politics.

[28]  Nicola Guarino,et al.  Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration , 1997, SCIE.