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Mapping without the sun
Zhang, Jixian

Water body
Paddy field
Arid land
Building area
Subsi deneeland
Figure 3(b). The output image classified by Supervised
4.4 Accuracy Assessment
Accuracy assessment is one of the indispensable jobs in the
process of the remote sensing data classification.Through
accuracy assessment, the classifying person can ascertain the
validity of the classification signature, improve the
classification signature, enhance classification accuracy; the
user can gain information in the classified image correctly and
effectively according to the classification accuracy. [l21 The
method based on the confusion matrix is universally
recommended classification accuracy assessment method. In
this study, we chose 1,024 detecting samples randomly
referring to TM image and 1:50000 topographic maps, then
through visual interpretation to structure the confusion matrix,
carried out classification accuracy assessment based on the
correlation index calculated.
This study used the thought of CART analysis whose tree
shaped was simple,clear and intuitionistic. It caused the multi
characteristic and multi-model land types of the trial area to be
clearer, so it easily realized the automatic recognition in the
This study used CART analysis to classify and extract the
mining area land resources, had yielded some result, specially
had extracted the subsidence lands.But,because of the time and
insufficiently experienced myself, the CART decision tree was
not too perfect. After ground truth investigation, we found one
subsidence land was omited and two arid lands had classified
into subsidence land by mistake, but this thought was feasible,
in later work can improve the CART decision tree shape, cause
it to be more perfect.
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