The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b. Beijing 2008
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6. CONCLUSIONS
In this paper, the application of the wavelet analysis method on
extracting the building from stereo images is described. Some
new ideas and methods about how to solve several key
questions are put forward. The results are summarized as
on compact support, good local regularity and smoothness.
Furthermore they are provided with very good multi-scales
properties. When the scale is small, there are plentiful details in
the detected result image. With large scales some details in the
image are neglected and the main edge features are intensified.
So we can realize optimal edge detection of buildings.
2) The algorithm of the lifting scheme ASWlet wavelet
decomposition and reconstruction of image is studied, and the
prediction function and update function were designed. The
method could maintain the on-site computation property of
lifted wavelets. In the meantime, it has strong expressive ability
as for the high frequency feature of the three constituents on the
decomposed image (vertical, horizontal and diagonal direction).
The result of wavelet transform could be very useful to the next
image match.
3) The basic principle and measure of semi-automatic
building extraction is discussed and a new method of automatic
comer point recognition is proposed. The method depends on
binary image morphology after feature extraction, instead of
recognizing the comer points on gray-scale image. So it can
locate the comers accurately without gray and geometry
threshold. Meanwhile, the description of invariant feature
parameters and the feature matching based wavelet transform is
adopted, which provides a fundamental basis for the
semi-automatic extraction of the building from the remote
sensing image.
4) On the basis of multi-scale edge detection based wavelet
analysis we have studied comer point recognition and feature
matching, the method of building model automatic extraction
and 3D reconstruction on stereo images.
Based on remote-sensing image, we have investigated as well
wavelet applications in different critical problems for the
building automatic extraction. Experiments have proved the
theories that we proposed were feasible and practical with high
accuracy. The methods developed here are shown to be effective
follows:
1) The method of multi-scale feature extraction based on
wavelet analysis was studied, and a new anti-symmetrical
wavelet (ASWlet) function and corresponding filters have been
proposed, which are symmetry, approximati
for improving efficiency on 3D building automatic acquisition
and for speeding up the progress of digital city construction.
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