• Title/Summary/Keyword: Pixel-Based Image Analysis (PBIA)

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Semi-Automated Extraction of Geographic Information using KOMPSAT 2 : Analyzing Image Fusion Methods and Geographic Objected-Based Image Analysis (다목적 실용위성 2호 고해상도 영상을 이용한 지리 정보 추출 기법 - 영상융합과 지리객체 기반 분석을 중심으로 -)

  • Yang, Byung-Yun;Hwang, Chul-Sue
    • Journal of the Korean Geographical Society
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    • v.47 no.2
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    • pp.282-296
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    • 2012
  • This study compared effects of spatial resolution ratio in image fusion by Korea Multi-Purpose SATellite 2 (KOMPSAT II), also known as Arirang-2. Image fusion techniques, also called pansharpening, are required to obtain color imagery with high spatial resolution imagery using panchromatic and multi-spectral images. The higher quality satellite images generated by an image fusion technique enable interpreters to produce better application results. Thus, image fusions categorized in 3 domains were applied to find out significantly improved fused images using KOMPSAT 2. In addition, all fused images were evaluated to satisfy both spectral and spatial quality to investigate an optimum fused image. Additionally, this research compared Pixel-Based Image Analysis (PBIA) with the GEOgraphic Object-Based Image Analysis (GEOBIA) to make better classification results. Specifically, a roof top of building was extracted by both image analysis approaches and was finally evaluated to obtain the best accurate result. This research, therefore, provides the effective use for very high resolution satellite imagery with image interpreter to be used for many applications such as coastal area, urban and regional planning.

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