[1]Allain C, Cloitre M. 1991. Characterizing the lacunarity of randomand deterministic fractal sets. Physical Review Annals, 44,3552-3558.[2]Baatz M, Schäpe A. 2000. Multiresolution segmentation: anoptimization approach for high quality multi-scale imagesegmentation. ISPRS Journal of Photogrammetry and RemoteSensing, 58, 12-23.[3]Benz U C, Hofmann P, Willhauck G, Lingenfelder I, Heynen M.2004. Multi-resolution, object-oriented fuzzy analysis ofremote sensing data for GIS-ready information. ISPRSJournal of Photogrammetry and Remote Sensing, 58, 239-258.[4]de Colstoun E C B, Story M H, Thompson C, Commisso K,Smith T G, Irons J R. 2003. National Park vegetation mappingusing multitemporal Landsat 7 data and a decision treeclassifier. Remote Sensing of Environment, 85, 316-327.[5]Burnett C, Blaschke T. 2003. A multi-scale segmentation/objectrelationship modelling methodology for landscape analysis.Ecological Modelling, 168, 233-249.[6]Carleer A P, Wolff E. 2006. Urban land cover multi-level regionbasedclassification of VHR data by selecting relevantfeatures. International Journal of Remote Sensing, 27, 1035-1051.[7]Chen Y, Wen D, Jing L, Shi P. 2007. Shadow information recoveryin urban areas from very high resolution satellite imagery.International Journal of Remote Sensing, 28, 3249-3254.[8]Feagin R A, Wu X B, Feagin T. 2007. Edge effects in lacunarityanalysis. Ecological Modelling, 201, 262-268.[9]Goetz S J, Wright R K, Smith A J, Zinecker E, Schaub E. 2003.IKONOS imagery for resource management: Tree cover,impervious surfaces, and riparian buffer analyses in the mid-Atlantic region. Remote Sensing of Environment, 88, 195-208.[10]Hall O, Hay G J, Bouchard A, Marceau D J. 2004. Detectingdominant landscape objects through multiple scales: Anintegration of object-specific methods and watershedsegmentation. Landscape Ecology, 19, 59-76.[11]Houlie N, Komorowski J C, de Michele M, Kasereka M, CirabaH. 2006. Early detection of eruptive dykes revealed bynormalized difference vegetation index (NDVI) on Mt. Etnaand Mt. Nyiragongo. Earth and Planetary Science Letters,246, 231-240.[12]Johansen K, Phinn S. 2006. Mapping structural parameters andspecies composition of riparian vegetation using IKONOSand landsat ETM plus data in Australian tropical savannahs.Photogrammetric Engineering and Remote Sensing, 72, 71-80.[13]Johansen K, Coops N C, Gergel S E, Stange Y. 2007. Applicationof high spatial resolution satellite imagery for riparian andforest ecosystem classification. Remote Sensing ofEnvironment, 110, 29-44.[14]Laliberte A S, Rango A, Havstad K M, Paris J F, Beck R F,McNeely R, Gonzalez A L. 2004. Object-oriented imageanalysis for mapping shrub encroachment from 1937 to 2003in southern New Mexico. Remote Sensing of Environment,93, 198-210.[15]Malhi Y, Roman-Cuesta R M. 2008. Analysis of lacunarity andscales of spatial homogeneity in IKONOS images ofAmazonian tropical forest canopies. Remote Sensing ofEnvironment, 112, 2074-2087.[16]Mallinis G, Koutsias N, Tsakiri-Strati M, Karteris M. 2008.Object-based classification using Quickbird imagery fordelineating forest vegetation polygons in a Mediterraneantest site. ISPRS Journal of Photogrammetry and RemoteSensing, 63, 237-250.[17]Mandelbrot B B. 1983. The Fractal Geometry of Nature. W. H. Freeman and Company, New York.Myint S W, Lam N. 2005. A study of lacunarity-based textureanalysis approaches to improve urban image classificationComputers. Environment and Urban Systems, 29, 501-523.[18]Piramuthu S. 2004. Evaluating feature selection methods forlearning in data mining applications. European Journal ofOperational Research, 156, 483-494.[19]Plotnick R E, Gardner R H, Hargrove W W, Prestegaard K,Perlmutter M. 1996. Lacunarity analysis: A general techniquefor the analysis of spatial patterns. Physical Review E, 53,5461-5468.[20]Puissant A, Hirsch J, Weber C. 2005. The utility of textureanalysis to improve per-pixel classification for high to veryhigh spatial resolution imagery. International Journal ofRemote Sensing, 26, 733-745.[21]Quinlan J R. 1993. C4.5: Programs for Machine Learning.Morgan Kaufmann Publishers Inc., San Mateo, CA.Wulder M A, Hall R J, Coops N C, Franklin S E. 2004. Highspatial resolution remotely sensed data for ecosystemcharacterization. Bioscience, 54, 511-521.[22]Zhang X Y, Feng X Z, Jiang H. 2010. Object-oriented methodfor urban vegetation mapping using IKONOS imagery.International Journal of Remote Sensing, 31, 177-196.[23]Zhou W Q, Troy A. 2008. An object-oriented approach foranalysing and characterizing urban landscape at the parcellevel. International Journal of Remote Sensing, 29, 3119-3135.[24]Zhou W Q, Huang G L, Troy A, Cadenasso M L. 2009. Objectbasedland cover classification of shaded areas in high spatialresolution imagery of urban areas: A comparison study.Remote Sensing of Environment, 113, 1769-1777. |