522
Views
17
CrossRef citations to date
0
Altmetric
Articles

Incorporating road and parcel data for object-based classification of detailed urban land covers from NAIP images

, &
Pages 498-520 | Received 21 Sep 2013, Accepted 03 Sep 2014, Published online: 09 Oct 2014

References

  • Ardila, J. P., W. Bijker, V. A. Tolpekin, and A. Stein. 2012. “Context-Sensitive Extraction of Tree Crown Objects in Urban Areas Using VHR Satellite Images.” International Journal of Applied Earth Observation and Geoinformation 15: 57–69. doi:10.1016/j.jag.2011.06.005.
  • Ban, Y., H. Hu, and I. Rangel. 2010. “Fusion of Quickbird MS and RADARSAT SAR Data for Urban Land-Cover Mapping: Object-Based and Knowledge-Based Approach.” International Journal of Remote Sensing 31 (6): 1391–1410. doi:10.1080/01431160903475415.
  • Bhaskaran, S., S. Paramananda, and M. Ramnarayan. 2010. “Per-Pixel and Object-Oriented Classification Methods for Mapping Urban Features Using Ikonos Satellite Data.” Applied Geography 30: 650–665. doi:10.1016/j.apgeog.2010.01.009.
  • Blaschke, T. 2010. “Object-Based Image Analysis for Remote Sensing.” ISPRS Journal of Photogrammetry and Remote Sensing 65 (1): 2–16. doi:10.1016/j.isprsjprs.2009.06.004.
  • Blaschke, T., S. Lang, and G. J. Hay, eds. 2008. Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications. Berlin: Springer.
  • Cao, L., D. Stow, J. Kaiser, and L. Coulter. 2007. “Monitoring Cross-Border Trails Using Airborne Digital Multispectral Imagery and Interactive Image Analysis Techniques.” Geocarto International 22 (2): 107–125. doi:10.1080/10106040701204073.
  • City of Nixa. 2014. “One and Two Family Residential Construction Guidelines & Inspection Checklist.” Accessed September 4. http://www.nixa.com/modules/showdocument.aspx?documentid=278.
  • Congalton, R. G. 1991. “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” Remote Sensing of Environment 37 (1): 35–46. doi:10.1016/0034-4257(91)90048-B.
  • Crocetto, N., and E. Tarantino. 2009. “A Class-Oriented Strategy for Features Extraction from Multidate ASTER Imagery.” Remote Sensing 1: 1171–1189. doi:10.3390/rs1041171.
  • Das, S., T. Mirnalinee, and K. Varghese. 2011. “Use of Salient Features for the Design of a Multistage Framework to Extract Roads from High-Resolution Multispectral Satellite Images.” IEEE Transactions on Geoscience and Remote Sensing 49 (10): 3906–3931. doi:10.1109/TGRS.2011.2136381.
  • de Pinho, C. M. D, L. M. G Fonseca, T. S. Korting, C. M. de Almeida, and H. J. H Kux. 2012. “Land-Cover Classification of an Intra-Urban Environment Using High-Resolution Images and Object-Based Image Analysis.” International Journal of Remote Sensing 33 (19): 5973–5995. doi:10.1080/01431161.2012.675451.
  • Del Frate, F., C. Pratola, G. Schiavon, and D. Solimini. 2011. “Automatic Features Extraction in Sub-Urban Landscape Using Very High Resolution Cosmo-Skymed SAR Images.” Paper presented at the 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, July 24–29.
  • Du, Y., D. Wu, F. Liang, and C. Li. 2013. “Integration of Case-Based Reasoning and Object-Based Image Classification to Classify SPOT Images: A Case Study of Aquaculture Land Use Mapping in Coastal Areas of Guangdong Province, China.” GIScience & Remote Sensing 50 (5): 574–589.
  • Enslin, W. R., J. Ton, and A. Jain. 1987. “Land Cover Change Detection Using A GIS-Guided, Feature-Based Classification of Landsat Thematic Mapper Data.” Paper presented at the Annual Convention of the American Society for Photogrammetry and Remote Sensing and ACSM, Baltimore, MD, March 29–April 3.
  • Fiorentino, C., D. Ventrella, L. Giglio, E. Di Giacomo, and R. Lopez. 2010. “Land Use Cover Mapping of Water Melon and Cereals in Southern Italy.” Italian Journal of Agronomy 5 (2): 185–192. doi:10.4081/ija.2010.185.
  • Homer, C. G., R. D. Ramsey, T. C. Edwards Jr., and A. Falconer. 1997. “Landscape Cover-Type Mapping and Modeling Using a Multi-Scene Thematic Mapper Mosaic.” Photogrammetric Engineering and Remote Sensing 63 (1): 59–67.
  • Huang, X., and J. R. Jensen. 1997. “A Machine-Learning Approach to Automated Knowledge-Base Building for Remote Sensing Image Analysis with GIS Data.” Photogrammetric Engineering and Remote Sensing 63 (10): 1185–1194.
  • Jensen, J. R. 2000. Remote Sensing of the Environment: An Earth Resource Perspective. Upper Saddle River, NJ: Prentice Hall.
  • Jensen, J. R. 2005. Introductory Digital Image Processing: A Remote Sensing Perspective. Upper Saddle River, NJ: Prentice Hall.
  • Jensen, J. R. 2009. “Image Classification.” In The SAGE Handbook of Remote Sensing, edited by T. A. Warner, M. D. Nellis, and G. M. Foody, 269–281. London: SAGE.
  • Leduc, F., and D. A. Lavigne. 2007. “Comparing Several AFE Tools in the Context of Ships and Vehicles Detection Based on RGB and EO data.” Paper presented at the 10th International Conference on Information Fusion, Quebec, July 9–12.
  • Lee, C. 2011. Feature Extraction from High Resolution Satellite Imagery as an Input to the Development and Rapid Update of a METRANS Geographic Information System (GIS). Final Report, METRANS Project AR 05-02. http://www.metrans.org/sites/default/files/research-project/AR05-02_Lee_final_Report_0_0.pdf.
  • Long, J. A., R. L. Lawrence, M. C. Greenwood, L. Marshall, and P. R. Miller. 2013. “Object-Oriented Crop Classification Using Multitemporal ETM+ SLC-off Imagery and Random Forest.” GIScience & Remote Sensing 50 (4): 418–436.
  • Lunetta, R. S., J. Ediriwickrema, J. Iiames, D. M. Johnson, J. G. Lyon, A. McKerrow, and A. Pilant. 2003. “A Quantitative Assessment of a Combined Spectral and GIS Rule-Based Land-Cover Classification in the Neuse River Basin of North Carolina.” Photogrammetric Engineering and Remote Sensing 69 (3): 299–310. doi:10.14358/PERS.69.3.299.
  • Madsen, M. D., D. L. Zvirzdin, B. D. Davis, S. Petersen, and B. Roundy. 2011. “Feature Extraction Techniques for Measuring Piñon and Juniper Tree Cover and Density, and Comparison with Field-Based Management Surveys.” Environmental Management 47 (5): 766–776. doi:10.1007/s00267-011-9634-3.
  • Merchant, J. W., and S. Nanllnalani. 2009. “Integrating Remote Sensing and Geographic Information Systems.” In The SAGE Handbook of Remote Sensing, edited by T. A. Warner, G. M. Foody, and M. D. Nellis, 257–268. London: SAGE.
  • Mesev, V. 1998. “The Use of Census Data in Urban Image Classification.” Photogrammetric Engineering and Remote Sensing 64 (5): 431–438.
  • Miller, J. E., S. A. C. Nelson, and G. R. Hess. 2009. “An Object Extraction Approach for Impervious Surface Classification with Very-High-Resolution Imagery.” The Professional Geographer 61 (2): 250–264. doi:10.1080/00330120902742920.
  • Mladinich, C. S. 2010. “An Evaluation of Object-Oriented Image Analysis Techniques to Identify Motorized Vehicle Effects in Semi-Arid to Arid Ecosystems of the American West.” GIScience & Remote Sensing 47 (1): 53–77. doi:10.2747/1548-1603.47.1.53.
  • Myint, S. W., P. Gober, A. Brazel, S. Grossman-Clarke, and Q. Weng. 2011. “Per-Pixel vs. Object-Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery.” Remote Sensing of Environment 115 (5): 1145–1161. doi:10.1016/j.rse.2010.12.017.
  • Ni, L. 2011. “Object and Rule Based Approach for Classification of High Spatial Resolution Data over Urban Areas.” In Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, edited by Q. Tong, X. Gu, and B. Zhu, 82030V. Bellingham, WA: SPIE.
  • Nixon, M., and A. S. Aguado. 2008. Feature Extraction and Image Processing. Oxford: Elsevier.
  • Oller, A. 2012. “Automatic Mapping of Off-road Vehicle Trails and Paths Using Images at Fort Riley Installation, Kansas.” MS Thesis, Southern Illinois University Carbondale.
  • Opitz, D., and S. Blundell. 2008. “Object Recognition and Image Segmentation: The Feature Analyst Approach.” In Object Based Image Analysis, edited by T. Blaschke, S. Lang, and G. J. Hay, 153–168. Berlin: Springer-Verlag.
  • Overwatch Systems. 2004. Using Feature AnalystTM for Land Cover and Land Use Mapping. A Visual Learning Systems, Inc. White Paper. Missoula, MT: Overwatch Systems.
  • Overwatch Systems. 2010a. Feature Analyst 5.0 for ArcGIS Reference Manual. Missoula, MT: Overwatch Systems.
  • Overwatch Systems. 2010b. Feature Analyst 5.0 for ArcGIS Tutorial. Missoula, MT: Overwatch Systems.
  • Pereira, L. O., C. C. Freitas, S. S. Anna, D. Lu, and E. F. Moran. 2013. “Optical and Radar Data Integration for Land Use and Land Cover Mapping in the Brazilian Amazon.” GIScience & Remote Sensing 50 (3): 301–321.
  • Pu, R., S. Landry, and Q. Yu. 2011. “Object-Based Urban Detailed Land Cover Classification with High Spatial Resolution IKONOS Imagery.” International Journal of Remote Sensing 32 (12): 3285–3308. doi:10.1080/01431161003745657.
  • Puissant, A., W. Zhang, and G. Skupinski. 2012. “Urban Morphology Analysis by High and Very High Spatial Resolution Remote Sensing.” Paper presented at the fourth international conference on Geographic Object-Based Image Analysis (GEOBIA), Rio de Janeiro, Brazil, May 7–9.
  • Quackenbush, L. J. 2004. “A Review of Techniques for Extracting Linear Features from Imagery.” Photogrammetric Engineering and Remote Sensing 70 (12): 1383–1392. doi:10.14358/PERS.70.12.1383.
  • Simler, S. 2011. “An Improved Road and Building Detector on VHR Images.” Paper presented at the 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, July 24–29.
  • Stehman, S. V. 2009. “Sampling Designs for Accuracy Assessment of Land Cover.” International Journal of Remote Sensing 30 (20): 5243–5272. doi:10.1080/01431160903131000.
  • Taubenböck, H., T. Esch, M. Wurm, A. Roth, and S. Dech. 2010. “Object-Based Feature Extraction Using High Spatial Resolution Satellite Data of Urban Areas.” Journal of Spatial Science 55 (1): 117–132. doi:10.1080/14498596.2010.487854.
  • Tenenbaum, D. E., Y. Yang, and W. Zhou. 2011. “A Comparison of Object-Oriented Image Classification and Transect Sampling Methods for Obtaining Land Cover Information From Digital Orthophotography.” GIScience & Remote Sensing 48 (1): 112–129. doi:10.2747/1548-1603.48.1.112.
  • Tsai, Y., D. Stow, and J. Weeks. 2011. “Comparison of Object-Based Image Analysis Approaches to Mapping New Buildings in Accra, Ghana Using Multi-Temporal QuickBird Satellite Imagery.” Remote Sensing 3 (12): 2707–2726. doi:10.3390/rs3122707.
  • Vanderzanden, D., and M. Morrison. 2002. High Resolution Image Classification: A Forest Service Test of Visual Learning System’s Feature Analyst. Salt Lake City, UT: USDA Forest Service Remote Sensing Applications Center.
  • Weih, R., and D. White. 2008. “Land-Use/Land-Cover Characterization Using an Object-Based Classifier for the Buffalo River Sub-Basin in North-Central Arkansas.” Journal of the Arkansas Academy of Science 62: 125–131.
  • Wu, S., X. Qiu, E. L. Usery, and L. Wang. 2009. “Using Geometrical, Textural, and Contextual Information of Land Parcels for Classification of Detailed Urban Land Use.” Annals of the Association of American Geographers 99 (1): 76–98. doi:10.1080/00045600802459028.
  • Yu, Q., P. Gong, N. Clinton, G. Biging, M. Kelly, and D. Schirokauer. 2006. “Object-Based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery.” Photogrammetric Engineering and Remote Sensing 72 (7): 799–811. doi:10.14358/PERS.72.7.799.
  • Yuan, F. 2008. “Land Cover Change and Environmental Impact Analysis in the Greater Mankato Area of Minnesota Using Remote Sensing and GIS Modelling.” International Journal of Remote Sensing 29 (4): 1169–1184. doi:10.1080/01431160701294703.
  • Zhang, C., Z. Xie, and D. Selch. 2013. “Fusing Lidar and Digital Aerial Photography for Object-Based Forest Mapping in the Florida Everglades.” GIScience & Remote Sensing 50 (5): 562–573.
  • Zhang, D., C. Zhang, R. Cromley, D. Travis, and D. Civco. 2012. “An Object-Based Method for Contrail Detection in AVHRR Satellite Images.” GIScience & Remote Sensing 49 (3): 412–427. doi:10.2747/1548-1603.49.3.412.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.