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Research Article | Open Access |

Remote Sensing Satellite Image Database System Allowing Image Portion Retrievals Utilizing Principal Component Which Consists Spectral and Spatial Features Extracted from Imagery Data

Author 1: Kohei Arai
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 5 · Published 2013 · Cited by 6

DOI: 10.14569/IJARAI.2013.020505

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Abstract

Remote Sensing satellite image database which allows image portion retrievals utilizing principal component which consists of spectral and spatial features extracted from the imagery data is proposed. Through the experiments with actual remote sensing satellite images, it is found that the proposed image retrieval does work so well.

Keywords

Image retrieval Spectral and spatial features e

How to Cite this Article

Arai, K. (2013). Remote Sensing Satellite Image Database System Allowing Image Portion Retrievals Utilizing Principal Component Which Consists Spectral and Spatial Features Extracted from Imagery Data. International Journal of Advanced Research in Artificial Intelligence, 2(5). https://doi.org/10.14569/IJARAI.2013.020505

Arai, Kohei. "Remote Sensing Satellite Image Database System Allowing Image Portion Retrievals Utilizing Principal Component Which Consists Spectral and Spatial Features Extracted from Imagery Data." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 5, 2013, https://doi.org/10.14569/IJARAI.2013.020505.

@article{Arai2013,
  title     = {Remote Sensing Satellite Image Database System Allowing Image Portion Retrievals Utilizing Principal Component Which Consists Spectral and Spatial Features Extracted from Imagery Data},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {5},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2013.020505},
  url       = {https://doi.org/10.14569/IJARAI.2013.020505}
}

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