312
drawing the outline of the boundary of change polygon, and
judging the attribute of change information. The above
detection results is to supply reference templates to extract
change polygon, and the operation platform is GIS software,
and through artificial analysis and intervene, the boundary of
change polygon is extracted. Altogether 54 change polygons are
extracted within this experiment area: 15 change polygons less
than 1 mu, 10 change polygons between 1 and 3 mu, 20 change
polygons between 3 and 10 mu, and 9 change polygons more
than 10 mu. In order to evaluate this result, SPOT5 2.5m fusion
image is provided to compare and analyze. On the view, 4
change polygons aren’t the new-added construction land: 1
block is pond, while data acceptance, there’s no water in it. So
the reflectance of the pond bottom is similar with that of
construction; 2 blocks of false change is speckle noise, and the
other is shed beside the pond.
6. CONCLUSIONS
X
This paper discusses some kinds of change detection methods,
and these methods are applicable to construction land dynamic
monitoring. In practical work, more than one method selected
supply shortage of one method according to the condition of
data source. From the point of view on qualitative evaluation,
the accuracy ratio of the change detection information achieves
92.5% for the existence of speckle noise. To a certain extent,
SAR speckle noise influences the accuracy of small
construction land monitoring.
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Fundation Item: Supported by Key Laboratory of Land Use,
Ministry of Land and Resource Funds (07-03)
