Color space transformation and object oriented based information extraction of aerial images

International Conference on Geoinformatics

Volumn , Issue , 2013, Pages

  Xu, Yan ^a,b   Duan, Fuzhou ^a,b  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b Base of the State Laboratory of Urban Environmental Processes and Digital Modeling   (China)

Author keywords

IHS transformation; multi resolution segmentation; object oriented classification; rule set; unmanned aerial vehicle (UAV)

Indexed keywords

CLASSIFICATION ACCURACY; COLOR SPACE TRANSFORMATION; EFFECTIVE CHARACTERISTICS; IHS TRANSFORMATION; MAXIMUM LIKELIHOOD CLASSIFICATIONS; OBJECT ORIENTED CLASSIFICATION; OBJECT ORIENTED METHOD; RULE SET;

UNMANNED AERIAL VEHICLES (UAV);

IMAGE SEGMENTATION;

EID: 84893312332     PISSN: 2161024X     EISSN: 21610258     Source Type: Journal    
DOI: 10.1109/Geoinformatics.2013.6626201     Document Type: Conference Paper

References (13)

1. Li N, Zhou D M, Zhao K Y." Marsh classification mapping at a community scale using high-resolution imagery". Acta Ecologica Sinica, vol.31, pp. 6717-6726, 2011.
2. LI L Y and LI D R. "Aerial Image Texture Classification Based on Particle Swarm Optimization". Computer Engineering, vol.34, no.6, pp.196-198, June 2008.
3. Zhang X Y, Feng X Z, Jiang H. "Feature space optimization of object-oriented classification". Journal of Remote Sensing, vol.13, no.4, pp.664-669, 2009.
4. Huang Huiping. "Scale Issues in Object-oriented Image Analysis". Institute of Remote Sensing Applications Chinese Academy of Sciences, pp.15-18, 2003.
5. Gong P, Lin X, Xu B. "Interpretation theory and application method development for information extraction from high resolution remotely sensed data". Journal of remote sensing, vol.10, pp.1-5, 2006.
6. Y Qian, G Peng, Nick Cliton et al."Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery". Photogrammetric Engineering and & Remote Sensing, vol.72, pp.799-811, 2006.
7. Chen Y H, Feng T, Shi P J, et al. "Classification of remote sensing image based on object-oriented and class rules". Geomatics and Information Science of Wuhan University, vol.31, pp.316-320, 2006.
8. Du Fenglan, Tian Qingjiu, Xia Xueqi.et al. "Object-oriented image classification analysis and evaluation".Remote sensing technology and application, vol.19, pp.20-23, 2004.
9. Laliberte, A. S., D. M. Browning & A. Rango. "A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery". International Journal of Applied Earth Observation and Geoinformation, vol.15, pp.70-78, 2012.
10. Laliberte, A., J. Herrick, A. Rango, C. Winters, A. Slaughter & C. Maxwell "Acquisition, orthorectification, and object-based classification of unmanned aerial vehicle (UAV) imagery for rangeland monitoring". Photogrammetric Engineering and Remote Sensing, vol.76, pp.661-672, 2010.
11. Laliberte, A.-N. & A. Rango. "Texture and scale in object-based analysis of subdecimeter resolution unmanned aerial vehicle (UAV) imagery". IEEE Transactions on Geoscience and Remote Sensing, vol.47, pp.761-770, 2009.
12. Ke Y, Quackenbush L J, Im J. "Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification". Remote Sensing of Environment, vol.114, pp. 1141-1154, 2010.
13. Ling Y R, Manfred Ehlers, E.Lynn Usery, Marguerite Madden. "FFT-enhanced HIS transform method for fusing high-resolution satellite images ". ISPRS Journal of Photogrammetry & Remote Sensing, vol.61, pp.381-392, December 2006.