Spatial Classification of Orchards and Vineyards with High Spatial Resolution Panchromatic Imagery
Journal Article
·
· Photogrammetric Engineering and Remote Sensing
New high resolution single spectral band imagery offers the capability to conduct image classifications based on spatial patterns in imagery. A classification algorithm based on autocorrelation patterns was developed to automatically extract orchards and vineyards from satellite imagery. The algorithm was tested on IKONOS imagery over Granger, WA, which resulted in a classification accuracy of 95%.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 15020517
- Report Number(s):
- PNNL-SA-38380; 400403909; TRN: US200521%%14
- Journal Information:
- Photogrammetric Engineering and Remote Sensing, Vol. 71, Issue 2
- Country of Publication:
- United States
- Language:
- English
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