| Title | A semi-automatic segmentation procedure for feature extraction in remotely sensed imagery |
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| Author | Zhang, Q; Pavlic, G; Chen, W ; Fraser, R; Leblanc, S; Cihlar, J |
| Source | Computers and Geosciences vol. 31, no. 3, 2005 p. 289-296, https://doi.org/10.1016/j.cageo.2004.10.003 |
| Year | 2005 |
| Alt Series | Natural Resources Canada, Contribution Series 20181485 |
| Publisher | Elsevier BV |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing |
| Program | Climate Change
Geoscience |
| Released | 2005 04 01 |
| Abstract | This paper presents a semi-automatic procedure that integrates thresholding, region growing, and edge detection techniques for feature extraction in remotely sensed imagery. An interface has been
developed to provide an interactive platform of the procedure. Thresholding technique is employed to sample object of interest. Estimated properties (i.e., mean and variance) of the sample are applied for feature extraction using region growing.
Since the derived object is subject to the sample and initial conditions, edge detection is incorporated to calibrate initial parameters by examining how the derived object matches the local edges inherent in the imagery. The program is loosely
linked to PCI (PCI Geomatics, Richmond Hill, Ontario, Canada), a widely distributed image processing software. We demonstrate applications of this procedure by deriving burned scars using SPOT VGT and NOAA AVHRR imagery |
| GEOSCAN ID | 311840 |
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