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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Astola, H. Molinier, M. Mikkola, T. Kubin, E. | 
| Copyright Year | 2008 | 
| Description | Author affiliation: VTT Tech. Res. Centre of Finland, Espoo (Astola, H.; Molinier, M.) || Metsahallitus, Vantaa (Mikkola, T.) || Finnish Forest Res. Inst., Muhos (Kubin, E.) | 
| Abstract | The objective of ForSe - Season Monitoring study was to develop an automatic method to analyze web-camera images of nature. As the outcome the image analysis produces indices that indicate the seasonal development stage of the forest (e.g. degree of autumn colour of deciduous trees). IP web-cameras of a pilot camera network were programmed to take one image in 15 minute interval on daylight hours during autumn period. One camera was used as a source of the training data (Enontekio), and one for testing data (Oulanka). The image data was preprocessed to reduce noise and to and spectral angle feature was calculated to compensate the illumination variations between consequential images and within a single image. Selected areas of the training site camera images of autumn season were classified into six classes describing the seasonal status of the leaves (green, light green, yellow, red, brown, fallen). The spectral angle features were calculated for these areas and clustered by K-means into 30 clusters. Class labels were assigned to the cluster centres using k-NN method (k= 5). To see the progress of a certain colour class in the time series of images of a test site camera, the classified pixels within selected regions of interest (ROI) were used to produce a continuous season colour index (SCI). The behaviour of the index was compared with a reference classification supplied by phenology experts from Finnish Forest Research Institute (Metla). | 
| File Size | 663931 | 
| File Format | |
| ISBN | 9781424428076 | 
| DOI | 10.1109/IGARSS.2008.4779476 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2008-07-07 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Cameras Computerized monitoring Colored noise Testing Image color analysis Prototypes Image analysis Noise reduction Pixel Data acquisition Automatic optical inspection Pattern recognition | 
| Content Type | Text | 
| Resource Type | Article | 
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