| Technology and Methodology |
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Segmentation of the High Spatial Resolution Remotely Sensed Imagery Based on SUSAN |
| XUE Qiao, ZHAO Shu-he |
| Department of Geographic Information Science, Nanjing University, Nanjing 210093, China |
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Abstract The SUSAN(Smallest Univalue Segment Assimilating Nucleus) method is used to detect gradient features from QuickBird imagery,and then the imagery is segmented using marker-controlled WT(Watershed Transform),and the segmentation result is satisfactory. The SUSAN method detects gradients well. It is not sensitive to noise and the values of the gradients are in a definite range and do not change with images,which offers convenience in selecting parameters in the later processes. The method is flexible because it is easy to choose the illumination threshold and the size of SUSAN matrix is not fixed. Based on the marker derived from both SUSAN gradients and NDVI,the gradients are modified using morphological grayscale reconstruction method,which efficiently constrains much local minima of the gradients and improves the segmentation precision.
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| Keywords
MODIS
Evapotranspiration(ET)
Shiyang River basin
Temporal and spatial pattern
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Issue Date: 16 December 2011
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2011,
Vol. 23
