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)