Multi-temporal MODIS-data-based PSO-FCM clustering applied to wetland extraction in the Sanjiang Plain

Hanli Liu; Tao Pei; Chenghu Zhou; A-Xing Zhu

doi:10.1117/12.815788

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29 December 2008 Multi-temporal MODIS-data-based PSO-FCM clustering applied to wetland extraction in the Sanjiang Plain

Hanli Liu; Tao Pei; Chenghu Zhou; A-Xing Zhu

Author Affiliations +

Hanli Liu,^1,2 Tao Pei,^1,2 Chenghu Zhou,² A-Xing Zhu^2,3
¹East China Normal Univ. (China)
²Institute of Geographic Sciences and Natural Resources Research (China)
³Univ. of Wisconsin, Madison (United States)

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72854Z (2008) https://doi.org/10.1117/12.815788
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

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Abstract

In order to enhance the spectral characteristics of features for clustering, in the experiment of wetland extraction in Sanjiang Plain, we use a series of approaches in preprocessing of the MODIS remote sensing data by considering eliminating interference caused by other features. First, by analysis of the spectral characteristics of data, we choose a set of multi-temporal and multi-spectral MODIS data in Sanjiang Plain for clustering. By building and applying mask, the water areas and woodland vegetation can be eliminated from the image data. Second, by Enhanced Lee filtering and Minimum Noise Fraction (MNF) transformation, the data can be denoised and the characteristics of wetland can be enhanced obviously. After the preprocessing of data, the fuzzy c-means clustering algorithm optimized by particle swarm algorithm (PSO-FCM) is utilized on the image data for the wetland extraction. The result of experiment shows that the accuracy of wetland extraction by means of PSO-FCM algorithm is reasonable and effective.

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Hanli Liu, Tao Pei, Chenghu Zhou, and A-Xing Zhu "Multi-temporal MODIS-data-based PSO-FCM clustering applied to wetland extraction in the Sanjiang Plain", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854Z (29 December 2008); https://doi.org/10.1117/12.815788

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KEYWORDS

Vegetation

Evolutionary algorithms

MODIS

Particles

Particle swarm optimization

Fuzzy logic

Image enhancement

Remote sensing

Analytical research

Feature extraction

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Hanli Liu, Tao Pei, Chenghu Zhou, A-Xing Zhu, "Multi-temporal MODIS-data-based PSO-FCM clustering applied to wetland extraction in the Sanjiang Plain," Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854Z (29 December 2008);

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