A Narrow River Extraction Method Based on Linear Information Enhancement in TM image

Abstract

Abstract:

Extraction of narrow rivers from TM images can be hardly achieved due to mixed-pixel effects. This paper presents an automatic approach for narrow river extraction by integrating multiple digital image processing techniques. Firstly, the threshold segmentation was applied on water-index images to separate from planar water bodies and narrow rivers. Secondly, a linear information enhancement algorithm is adopted to highlight river information and suppress other information. Thirdly, narrow rivers are extracted using dual-threshold line tracking method. Finally, three methods are selected to remove shadow, roads and other noises. Experimental results show the approach can effectively extract narrow rivers with the extraction rate higher than 82%, false alarm rate lower than 7%, extraction quality higher than 79%, and completeness higher than 90%, and avoid impact from multiple kinds of noise.

Key words: narrow river, remote sensing, water extraction, water index

CLC Number:

P237

References

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