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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
Figure 3. Segmentation of a Google Earth screen capture image with scale 50
4. CONCLUSIONS
In this work, a multi-resolution image segmentation method
combining spectral and shape features is proposed, with
reference to the basic idea of eCogntion. In most cases, our
segmentation method produces highly visually homogeneous
parcels in arbitrary resolution on different types of images. We
declare that our method reaches the level of eCognition in
segmenting precision, and satisfies the practical need of
segmenting remotely sensed imagery with fair algorithm
efficiency. As a first step for further analyses, multiresolution
segmentation can be used to produce image object primitives.
Starting from this, we can carry out a lot of higher level image
interpretation including image classification, information
extraction, and object recognition, etc.
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ACKNOWLEDGEMENTS
This work is supported by Chinese National Programs for High
Technology Research and Development (No.2007AA12Z224,
2006AA12Z146), and startup fund of Nanjing Normal
University (No. 2006105XGQ0035)
