In summary, it may be said that strategy B is far more 
suitable and robust in the unsupervised classification- 
recoding process than is strategy A. Strategy B, rather 
than strategy A, should be of first consideration in 
similar projects. Applying this strategy in our study, the 
rice area accuracy we identified is exceeding 84%. 
We tested the effect of Landsat Thematic Mapper(TM) 
data in our experiment. For other remotely sensed data, 
such as NOAA-AVHRR image or SPOT image, further 
experiment is still needed. It is expected that similar 
results should be obtained and strategy B be more robust 
in these instances. 
In practical usage, the rice planting area is always much 
lager than that in our case. A larger crop cultivated area 
may cover several TM scenes which have different 
ground spectral and spatial characteristics. Although 
strategy B is properly used in one scene circumstance, 
problems will occur if it is applied to multi-scenes. How 
to cope with this problem still needs further research. 
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