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software needed in the experiment are easy to meet, and can is showed as Figure 4. The two stage apart for a long time, so
fulfill the near-real-time requirements. The sample of the result the change is big.
C. Detection overlay on old stage image. D. Detection overlay on new stage image
Red colour implies the building “grows ” more then 5 meters; Green colour implies building “goes down” more then 5 meters; Blue colour implies
building “grows” between 3 and 5 meters; Yellow colour implies building “goes down” between 3 and 5 meters.
Figure 4. Sample of detection experiment.
6. CONCLUSION
Through experiment, it is confirmed that city building change
can detected by make use of DSMs of different period. And
there are many excellences in aerial images for detection:
1) Easily recognize objects from images
2) Possible to correct POS errors through triangulation
3) High resolution and accuracy
4) to generate ortho-images and digital maps incidentally
There is also something not easy to copy with. Airship is easily
be disturbed by wind, though we can produce big airship to
resist strong winds. And even though stabilizator is used, there
are many neighbour images can’t get enough overlap when the
according to the prepared programmed track. Before auto-aerial
triangulation, data checking is very important.
And there are something left to be following work. The most
important is that: Some noise can not be correctly picked out,
for example, mobiles, Trees, and so on. Perhaps, to recognize
theses automatically is a long way to walk.
REFERENCES
Conghua WANG, Jie SUN, Zongjian LIN. Study and design of
measurement and control information management system for
UAV, Science of Surveying and Mapping 2005-8 Vol 30 No.4
wind goes bigger than grade 4. Sometimes other electronic
interference should be removed for making sure flying
Hongxia CUI, Zongjian LIN, Jie SUN. Research On UAV
Remote Sensing System. Bulletin of Surveying and Mapping.
2005, Vol 5.
