Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Land Cover Classification of RapidEye Satellite Images Using Tesseled Cap Transformation (TCT)

  • Moon, Hogyung (Division of Conservation Ecology, National Institute of Ecology) ;
  • Choi, Taeyoung (Division of Conservation Ecology, National Institute of Ecology) ;
  • Kim, Guhyeok (School of Civil Engineering, Chungbuk National University) ;
  • Park, Nyunghee (School of Civil Engineering, Chungbuk National University) ;
  • Park, Honglyun (School of Civil Engineering, Chungbuk National University) ;
  • Choi, Jaewan (School of Civil Engineering, Chungbuk National University)
  • Received : 2017.02.10
  • Accepted : 2017.02.20
  • Published : 2017.02.28
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Abstract

The RapidEye satellite sensor has various spectral wavelength bands, and it can capture large areas with high temporal resolution. Therefore, it affords advantages in generating various types of thematic maps, including land cover maps. In this study, we applied a supervised classification scheme to generate high-resolution land cover maps using RapidEye images. To improve the classification accuracy, object-based classification was performed by adding brightness, yellowness, and greenness bands by Tasseled Cap Transformation (TCT) and Normalized Difference Water Index (NDWI) bands. It was experimentally confirmed that the classification results obtained by adding TCT and NDWI bands as input data showed high classification accuracy compared with the land cover map generated using the original RapidEye images.

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References

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