ML Anthology

A Band-Weighted Landuse Classification Method for Multispectral Images

Chunhong Pan, Gang Wu, Véronique Prinet, Qing Yang, Songde Ma
CVPR 2005 pp. 96-102
doi:10.1109/CVPR.2005.14 /cvpr/2005/pan2005cvpr-band/

Abstract

Landuse classification is an important problem in the remote sensing field. It can be used in a wide range of applications. In this paper, we propose a hybrid method fusing edges and regions information for the landuse classification of multispectral images. It mainly includes the steps of image pre-processing, initial segmentation and region merging. Especially, a novel spatial mean shift procedure is proposed so that some information can be extracted and used in the successive steps. Aiming at the multispectral images processing, we also design a band weighting strategy that give a proper weight to each band adoptively according to the region to be processed. Experimental results on the Landsat TM and ETM+ images validate the performance of the proposed method.

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Cite

Text

Pan et al. "A Band-Weighted Landuse Classification Method for Multispectral Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.14

Markdown

[Pan et al. "A Band-Weighted Landuse Classification Method for Multispectral Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/pan2005cvpr-band/) doi:10.1109/CVPR.2005.14

BibTeX

@inproceedings{pan2005cvpr-band,
  title     = {{A Band-Weighted Landuse Classification Method for Multispectral Images}},
  author    = {Pan, Chunhong and Wu, Gang and Prinet, Véronique and Yang, Qing and Ma, Songde},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {96-102},
  doi       = {10.1109/CVPR.2005.14},
  url       = {https://mlanthology.org/cvpr/2005/pan2005cvpr-band/}
}