Study on Classification of Land Use Based on TMETM+ Image

DOI

10.2991/eers-15.2015.26How to use a DOI?

Keywords

land classification; image processing

Abstract

The use of remote sensing classification technology can quickly obtain land use change information. Supervised classification and classification method, In the study area, the change of land use was analyzed. The classification effect depends on the classification scheme. The main purpose of this paper is to discuss several processing methods of computer classification based on the TM image. Draw general conclusions: (1) the classification accuracy of KL is higher than that of IHS fusion image. But the calculation of the relative IHS method is large and the calculation time is long. (2)Using the KL transform to achieve the purpose of data compression, but also to improve the visual selection of the training needs of the field.(3) The fusion image has the advantages of multi spectral and high spatial resolution, which is beneficial to improve the accuracy of the image recognition and interpretation, and then improve the classification accuracy.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mengtong Li
AU  - Xiaojing Sun
AU  - Lingbin Yang
PY  - 2015/09
DA  - 2015/09
TI  - Study on Classification of Land Use Based on TMETM+ Image
BT  - Proceedings of the 2015 International Conference on Environmental Engineering and Remote Sensing
PB  - Atlantis Press
SP  - 106
EP  - 109
SN  - 2352-538X
UR  - https://doi.org/10.2991/eers-15.2015.26
DO  - 10.2991/eers-15.2015.26
ID  - Li2015/09
ER  -