Automatically generated by URLibService


International Conference on Geographic Object-Based Image Analysis, 4. (GEOBIA)
Rio de Janeiro - RJ, May 7-9, 2012

Title Page
Cataloging Data
Organizing Committee
Scientific Committee
Author Index
Example of a Paper Reference
Links to the themes of the contents:

01 Accuracy Assessment
02 Aquatic and Coastal Ecossystems
03 Change Detection
04 Classification
05 Feature Extraction
06 Forest Analysis
07 Geomorphological Hazards
08 Landscape and Ecological Applications
09 LiDAR and SAR Applications
10 Multitemporal Analysis
11 Segmentation
12 Urban Applications

   01 Accuracy Assessment

Automatic quality assessment of GIS data based on object coherence
Becker, C.; Ostermann, J.; Pahl, M.

An integrated framework for assessing the accuracy of GEOBIA land cover products
Castilla, G.; Hernando, A.; Zhang, C.; Mazumdar, D.; McDermid, G. J.

Land use classification accuracies comparison based on ASTER/VNIR data and ASTER/VNIR-PALSAR image fusion
Khoiriah, I. F.; Danoedoro, P.; Farda, N. M.

Spatial assessment of categorical maps: A proposed framework
Marinho, E.; Fasbender, D.; Kok, R.

Site-specific area-based validation of classified objects
Whiteside, T. G.; Maier, S. W.; Boggs, G. S.

   02 Aquatic and Coastal Ecossystems

Species discrimination in a heterogeneous Mediterranean environment using field and airborne spectroscopic data
Addink, E.; Jong, S.; Buzzo, G.; Doelman, J.

Mapping Amazon river floodplain reach with SRTM-DEM using the HAND descriptor and object-based image analysis
Alfaya, F. A. V. S.; Florenzano, T. G.; Barbosa, C. C. F.

Flood extent monitoring of the Amazon River floodplain using ScanSAR/ALOS data
Arnesen, A. S.; Silva, T. S. F.; Hess, L. L.; Novo, E. M. L. M.

Identification of mangrove fragments at a northern section of São Luis (MA), Brazil using WorldView-II images and the OBIA approach
Kux, H. J. H.; Souza, U. D. V.

Data fusion for mapping coral reef geomorphic zones - Possibilities and limitations
Leon, J.; Phinn, S. R.; Woodroffe, C. D.; Hamylton, S.; Roelfsema, C.; Saunders, M.

Image classification using Landsat TM images for mapping wetlands vegetation (banhados) of the Catarinense Plateau, southern Brazil
Magalhaes, T. L. D.; Schimalski, M. B.; Mantovani, A.; Bortoluzzi, R. L. D. C.

Object-based class modeling for assessing habitat quality in riparian forests
Strasser, T.; Lang, S.; Paccagnel, K.; Pernkopf, L.

Extending a prototype knowledge- and object-based image analysis model to coarser spatial resolution imagery: An example from the Missouri river
Strong, L. L.

Combining object-based image analysis and data mining for carbon assessment in floodplains
Suchenwirth, L. O.; Gärtner, P.; Förster, M.; Kleinschmit, B.

   03 Change Detection

Land-cover dynamics in Southeast Asia: Contribution of object-oriented techniques for change detection
Dupuy, S.; Herbreteau, V.; Feyfant, T.; Morand, S.; Tran, A.

A semi-automatic method for detecting changes to Ordnance Survey topographic data in rural environments
Gladstone, C.; Gardiner, A.; Holland, D.

Object- based change detection of degraded Populus Euphratica floodplain forests at the lower reaches of Tarim river, China
Gärtner, P.; Suchenwirth, L.; Kurban, A.; Kleinschmit, B.

Baltic Sea Ice extent and concentration changes during winter 2010
Mazur, A.; Krezel, A.

Assessment of the glacial retreat in the Llanganuco micro-watershed through a multitemporal analysis within the time span from 1987 to 2007
Ortiz, D. F. C.; Castillo, J. E. T.

Geomorphological change detection using object-based feature extraction from multi-temporal LiDAR data
Seijmonsbergen, A. C.; Anders, N. S.; Bouten, W.

A comparative study of urban change detection using high spatial resolution images
Veettil, B. K.

Semi-automatic update and quality control of road databases
Ziems, M.; Beyen, J.; Müller, S.; Christian, H.

   04 Classification

Characterizing land use and cover change and sugar cane expansion using TM data, EVI2-MODIS and object-based image analysis
Alves, C. D.; Alves, D. S.; Florenzano, T. G.; Pereira, M. N.

Semantic nets for object-oriented land cover mapping: A preliminary example
Arvor, D.; Kosmidou, V.; Libourel, T.; Adamo, M.; Tarantino, C.; Lucas, R.; O'Connor, B.; Blonda, P.; Pierkot, C.; Fargette, M.; Andres, S.; Durieux, L.

Detection of potato plantation areas with medium resolution images: case study of Bueno Brandão, MG
Boulomytis, V. T. G.; Alves, C. D.

A literature review, 2001-2008, of classification methods and inner urban characteristics identified in multispectral remote sensing images
Brito, P.; José, Q.

Land cover mapping using object-based image analysis for pipelines monitoring
Ferreira, M.; Marques, M.; Riedel, P.; Polizel, S.; Bentz, C.

Data mining techniques and GEOBIA applied to land cover mapping
Francisco, C.; Almeida, C. M.

Land use/land cover in the Uruguay river basin considering the GEOBIA paradigm
Freitas, M.; Santos, J. R.

Novel parameters for evaluating the spatial and thematic accuracy of land cover maps
Hernando, A.; Tiede, D.; Albrecht, F.; Lang, S.; A, G.-A.

Detecting potential sites of Cannabis Sativa plantations by object-based, SPOT 5 HRG image classification
Lisita, A.; Sano, E.; Durieux, L.

Comparison of machine learning algorithms Random Forest, Artificial Neural Network and Support Vector Machine to Maximum Likelihood for supervised crop type classification
Nitze, I.; Schulthess, U.; Asche, H.

Land cover mapping using a knowledge-model with InterIMAGE: The case of APA Petrópolis, Rio de Janeiro, Brazil
Sousa, G. M.; Santos, F. V.; Fernandes, M. C.

Mapping use and land cover at a 1:5,000 scale of Angra dos Reis, RJ with object- based image classification
Tavares, A. C. A.; Rosário, L. S.; Conceição, T. S.; Cruz, C. B. M.; Barros, R. S.

An OBIA for fine-scale land cover spatial analysis over broad territories: demonstration through riparian corridor and artificial sprawl studies in France
Tormos, T.; Dupuy, S.; Looy, K. V.; Barbe, E.; Kosuth, P.

An experimental comparison of graph based semi-supervised learning for multispectral image classification
Tu, E.; Yang, J.; Fang, J.; Jia, Z. H.; Kasabov, N.

A new classification method for high spatial resolution remote sensing image based on mapping mechanism
Wang, G.; He, G.; Liu, J.

   05 Feature Extraction

Texture-based fuzzy system for rotation-invariant classification of aerial orthoimage regions
Acuña, M. B.; Andrade, M. T. C.; Kim, H. Y.

Towards adaptive image processing - Automated extraction of railroad tracks from extremely high resolution aerial imagery
Beger, R.; Neubert, M.; Herold, H.

A new robust method for bridge detection from high resolution electro-optic satellite images
Gedik, E.; Cinar, U.; Karaman, E.; Yardimci, Y.; Halici, U.; Pakin, K.

Identifying and evaluating hotspots of climate-related indicators in the Sahel making use of object-based regionalization techniques
Hagenlocher, M.; Lang, S.; Hölbling, D.

A new tool for evaluating spectral unmixing applications for remotely sensed hyperspectral image analysis
Jimenez, L. I.; Martin, G.; Plaza, A.

High-resolution satellite imagery modulating based on multi-scale observing feature
Jinfang, Z.; Fanjiang, X.; Bangyu, L.; Jianhua, L.; Yaping, L.

A new algorithm for automatic road network extraction in multispectral satellite images
Karaman, E.; Cinar, U.; Gedik, E.; Yardimici, Y.; Halici, U.

Are tessellated image objects really realiable?
Lizarazo, I.; Araque, L.

Discovery of frequent correlations among deforestation objects using graph mining
Maciel, A. M.; França, F. S.; Silva, M. P. S.

Texture characterization in remote sensing imagery using binary coding techniques
Musci, M.; Feitosa, R.; Velloso, M. L.; Novack, T.; Costa, G.

Three-dimensional road extraction combining a stereoscopic pair of low-resolution aerial images and a DTM
Poz, A. D.; Martins, É.; Zanin, R.

An object-oriented clustering algorithm for multi-spectral images using the Latent Dirichlet Allocation
Tang, H.; Qi, Y.; Shen, L.; Shu, Y.

Implementation of an interactive WebGIS-based OBIA geoprocessing service
Tiede, D.; Huber, J.; Kienberger, S.

Sub-object examination aimed at improving detection and distinction of objects with similar attribute characteristics
Veljanovski, T.; Djuric, N.; Kanjir, U.; Oštir, K.

Graph-based mapping of urban structure types from high resolution satellite image objects
Walde, I.; Hese, S.; Schmullius, C.

Machine learning for the exhaustive evaluation of object-based feature spaces
Wolf, N.; Hof, A.; Jürgens, C.

Feature extraction of hyperspectral remote sensing in parallel computing research based on GPU
Yaohua, L.; Ke, G.; Shibo, Z.; Zhongping, T.; Maozhi, W.

A comparison of visual interpretation and object-based image analysis for deriving landscape metrics
Zanella, L.; Sousa, C.; Souza, C.; Carvalho, L.; Borem, R.

Object decomposition based on skeleton analysis for road extraction
Zhijian, H.; Junsuo, Z.; Fanjiang, X.

   06 Forest Analysis

Object-based image analysis for mapping fuel types in Tenerife Island using WorldView-2 data
Alonso-Benito, A.; Arroyo, L. A.; Arbelo, M.; Hernández-Leal, P.; Núñez-Casillas, L.; Arvelo-Valencia, L.

Updating an object-based pan-tropical forest cover change assessment by automatic change detection and classification
Beuchle, R.; Raši, R.; Bodart, C.; Vollmar, M.; Seliger, R.; Achard, F.

Directional local filtering assisting individual tree analysis in closed forest canopies using VHR optical and LiDAR data
Coillie, F. V.; Devriendt, F.; Wulf, R. D.

Object-oriented classification of forest succession stages
Corte, A. P. D.; Kirchner, F. F.; Sanquetta, C. R.; Doubrawa, B.; Machado, A.

Classification of unmanaged forest reserves in Flanders (Belgium) at the tree crown level using airborne hyperspectral and LiDAR data
Devriendt, F.; Coillie, F. V.; Wulf, R. D.; Bertels, L.; Kempeneers, P.; Vandekerkhove, K.; Morsdorf, F.

Stratification for assessment of nutritional status in forest plantations
Garcia, M.; Silva, P.; Carvalho, L.

A comparison of maximum likelihood classifier and object-based method based on multiple sensor datasets for land-use/cover classification in the Brazilian Amazon
Lu, D.; Li, G.; Moran, E.; Freitas, C. C.; Dutra, L. V.; Sant’Anna, S. J. S.

Discriminating Mixed Ombrophylous Forest sub-typologies using object-based image analysis and decision trees
Luz, N. B.; Antunes, A. F. B.

Forest canopy shadow extraction using aerial photographs in the Ecuadorian Amazon
Wang, O.

Object-based cloud and cloud shadow detection in Landsat images for tropical forest monitoring
Zortea, M.; Salberg, A.-B.; Trier, D.

   07 Geomorphological Hazards

Extracting gully features and its dynamics from high spatial resolution imagery using object-based image analysis
B. V, S. R.; Kerle, N.; Jetten, V.

Creation of event-based landslide inventory from panchromatic images by object-oriented analysis
Martha, T. R.; Kerle, N.

SHALSTAB application to identify the susceptible areas of shallow landslides in Cunha river watershed, Rio dos Cedros City, SC, Brazil
Reginatto, G.; Maccarini, M.; Kobiyama, M.; Higashi, R.; Grando, Â.; Corseuil, C.; Caramez, M.

Application of GEOBIA-multinomial logistic regression for landslide vulnerability assessment in Kayangan catchment area, Indonesia
Samodra, G.; Chen, G.; Sartohadi, J.; Kouki, Z.; Kasama, K.; Hadmoko, D. S.

Adaptive sampling and object-feature selection for landslide mapping using Random Forests
Stumpf, A.; Lachiche, N.; Kerle, N.; Puissant, A.

Mapping landslide surface fissures with matched filtering and object-oriented image analysis
Stumpf, A.; Malet, J.-P.; Kerle, N.

   08 Landscape and Ecological Applications

Scalar data analysis for assessing biodiversity of various geographical territories using GEOBIA
Aryal, J.; Rojas-Mora, J.; Josselin, D.

Geoprocessing in modeling ecological corridors in the Lagoa Santa Karst APA (MG)
Castro, G.; Faria, M.; Fernandes Filho, E.

Estimation tree density as object-based in arid and semi-arid regions using ALOS
Fadaei, H.; Suzuki, R.; Avtar, R.

Landscape hierarchical zoning using object-oriented image analysis
Freitas, M.; Santos, J. R.; Alves, D. S.; Valeriano, M. M.

Plant invasion recorded by remotely sensed data, comparison of different data sources
Mullerová, J.; Pergl, J.; Pyšek, P.

A study on automated segmentation for object-based image analysis for geological mapping in the northern Cape Province, South Africa
Ngcofe, L.; Minnaar, H.

Object-based landform mapping at multiple scales from Digital Elevation Models (DEMs) and aerial photographs
d'Oleire-Oltmanns, S.; Eisank, C.; Dragut, L.; Schrott, L.; Marzolff, I.; Blaschke, T.

Semiautomated map of climate and geomorphologic attributes from São João river basin – MG
Panquestor, E.; Vicens, R.

Object-based approach for crop row characterization in UAV images for site-specific weed management
Peña-Barragána, J. M.; Kelly, M.; de-Castro, A. I.; López-Granados, F.

Characterization of sites with monodominance of Aroeira (Myracrodruon Urundeuva All.) in Tumiritinga, MG
Scudeller, A.; Oliveira, F. P.; Giacomin, G.; Fernandes, E.

High resolution satellite image and GIS as tools to analyze the socio-environmental conflicts: a case study in the Southeast of Brazil
Spinola, G.; Turetta, A. P. D.; Silva, A. C. P.

Extrapolation of high-resolution classification with low-resolution objects. An example of burrow system and rodent habitat mapping in Kazakhstan
Wilschut, L.; Addink, E.; Jong, S.; Davis, S. A.; Laudisoit, A.; Burdelov, L. A.; Dubyanskiy, V.; Ageyev, V. S.; Meka-Mechenko, V. G.; Begon, M.

   09 LiDAR and SAR Applications

A knowledge-based approach applied to airborne SAR images for classifying land cover/land use in the Brazilian Amazon
Almeida, C. M.; Delgado, F.; Rosa, R.; Luebeck, D.; Feitosa, R.; Costa, G.

Classification of oil spills and meteo-oceanographic events detected in SAR images
Bentz, C.; Politano, A.; Ebecken, N.

OBIA for combining LiDAR and multispectral data to characterize forested areas and land cover in a tropical region
Dupuy, S.; Lainé, G.; Tormos, T.

Identification of vegetated landslides using only a LiDAR-based Terrain Model and derivatives in an object-oriented environment
Eeckhaut, M. V. D.; Kerle, N.; Poesen, J.; Hervás, J.

Object-based monitoring of gully extent and volume in North Australia using LiDAR data
Johansen, K.; Sakaushi, T.; Tindall, D.; Phinn, S.

Genetic algorithms and data mining applied to optical orbital and LiDAR data for object-based classification of urban land cover
Leonardi, F.; Almeida, C. M.; Fonseca, L. M. G.; Tomas, L.; Oliveira, C.

Semi-automatic detection of cultural heritage in lidar data
Trier, D.; Zortea, M.

SVMs-based classification of segmented airborne LiDAR point clouds in urban areas
Zhang, J.; Lin, X.

   10 Multitemporal Analysis

Estimation of transition possibilities for fuzzy Markov chains applied to the analysis of multitemporal image sequences
Alves, A.; Mota, G.; Costa, G.; Feitosa, R.

Characterization of the growth of urban areas by means of QuickBird images through object-oriented segmentation
Antunes, A. F.; Duarte, A.

Object-based change detection using temporal linkages
Hofmann, P.; Blaschke, T.

Identifying features for temporal analysis of vegetation indices
Korting, T. S.; Fonseca, L. M. G.; Câmara, G.

Verification of temporal analysis of coastline using object-based image classification derived from Landsat-5 images of Karasu, Turkey
Marangoz, A. M.; Gormus, K. S.; Oruc, M.; Kutoglu, H.; Alkis, Z.

Monitoring of desertification processes through trend estimates of time series
Sousa, W.; Bandeira, C.; Ribeiro, E.; Castro, A.; Bustos, H.; Silva, M.

Object-based change detection and classification improvement of time series analysis
Tiede, D.; Wania, A.; Füreder, P.

   11 Segmentation

Reducing the effect of seed locations during segmentation. Applying the Edge-Preserving Smoothing Filter to increase robustness of segmentation
Addink, E.

Edge preserving land cover classification refinement using mean shift segmentation
Büschenfeld, T.; Ostermann, J.

A multiscalar, multicriteria approach for image segmentation
Ferreira, R.; Feitosa, R.; Costa, G.

Combining the heuristic and spectral domains in semi-automated segment generation
Fourie, C.; Schoepfer, E.

A parallel image segmentation algorithm on GPUS
Happ, P.; Feitosa, R.; Bentes, C.; Farias, R.

Assessment of optimization methods for automatic tunning of segmentation parameters
Happ, P.; Feitosa, R.; Street, A.

Contrast analysis in high-resolution imagery for near and far neighborhoods
Kok, R.; Tasdemir, K.

Auto-Matching Algorithm for Remote Sensing Images
Liu, H.; He, G.

Automated mapping of coastline from high resolution satellite images using supervised segmentation
Puissant, A.; Sébastien, L.; Simon, R.; Jean-Philippe, M.

Analysis of RapidEye´s red edge band for image segmentation and classification
Sousa, C. H. R.; Souza, C. G.; Zanella, L.; Carvalho, L. M. T.

Encoding of topological information in multi-scale remotely sensed data: Applications to segmentation and object-based image analysis
Syed, A. H.; Saber, E.; Messinger, D.

Image segmentation with image and shape phase analysis
Volotão, C.; Dutra, L. V.; Santos, R. D. C.

Automatic evaluation of segmentation methods for SAR images
Zanotta, D.; Korting, T.; Fonseca, L. M. G.; Dutra, L. V.

   12 Urban Applications

Using geographic object-based image analysis (GEOBIA) for urban land cover mapping and settlement density assessment
Berger, C.; Voltersen, M.; Hese, S.; Walde, I.; Schmullius, C.

Urban land cover classification with Worldview-2 images using Data mining and Object-based image analysis
Carvalho, M.; Kux, H. J. H.; Florenzano, T. G.

Urban climate zone detection and discrimination using object-based analysis of VHR scenes
Gamba, P.; Lisini, G.; Liu, P.; Du, P.; Lin, H.

Geospatial object-based heat metrics to support urban energy efficiency programs
Hay, G.; Hemachandran, B.; Karim, B.; Kyle, C.; Chen, G.; Rahman, M. M.; Fung, T. S.; Arvai, J. L.

A GEOBIA approach to map interpretation – Multitemporal building footprint retrieval for high resolution monitoring of spatial urban dynamics
Herold, H.; Meinel, G.; Hecht, R.; Csaplovics, E.

Using VHR satellite imagery to estimate populations in informal settlements
Kanjir, U.; Veljanovski, T.; Kovacic, P.

Role of dimensionality reduction in segment-based classification of damaged building roofs in airborne laser scanning data
Khoshelham, K.; Oude-Elberink, S.

Local ontologies for object-based slum identification and classification
Kohli, D.; Kerle, N.; Sliuzas, R.

Detection and monitoring of heat island in the Metropolitan Area of Rio de Janeiro (MARJ) using the NDVI and IBI indices
Lucena, A.; Rotunno Filho, O.; Peres, L.; França, J. R.

Detection of urban features and map updating from satellite images using object-based image classification methods and integration to GIS
Marangoz, A. M.; Alkis, Z.

Object-oriented classification in urban areas using GeoDMA plugin
Meneghetti, G.; Rodrigues, C. S.

Shape oriented object-based classification of aerial/satellite images of urban areas
Moussa, A.; El-Sheimy, N.

Urban morphology by high and very high spatial resolution remote sensing
Puissant, A.; Wei, Z.; Grezgorz, S.

Geospatial object-based mosaicing of high-resolution thermal airborne imagery (TABI 1800) to improve roof shape and thermal statistics
Rahman, M. M.; Hay, G. J.; Hemachandran, B.; Mah, S.; Tam, A.

The object-based approach for urban land use classification using high resolution satellite imagery (A case study: Zanjan city)
Reveshty, M. A.; Rabet, A. R.

Evaluation of WorldView-2 imagery for urban land cover mapping using the InterIMAGE system
Ribeiro, B.; Fonseca, L. M. G.

Use of WorldView-II images and the knowledge-based software InterIMAGE for the classification of land cover in an urban area
Souza, U. D. V.; Kux, H. J. H.