Document Type
Conference Paper
Publication Date
2008
Publication Title
Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008
Pages
10-14
Conference Name
2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, July 14-July 17, 2008, Las Vegas, Nevada
Abstract
Remote sensing techniques like NDVI (Normal Difference vegetative Index) when applied to phenological variations in aerial images, ascertained the seasonal rise and decline of photosynthetic activity in different seasons, resulting in different color tones of vegetation. The rise and fall of NDVI values decide the biological response, either the green up or brown down [1]. Vegetation in green up period appears with more vegetative vigor and during brown down period it has a dry appearance. This paper proposes a novel method that identifies vegetative patterns in satellite images and then alters vegetation color to simulate seasonal changes based on training image pairs. The proposed method first generates a vegetation map for pixels corresponding to vegetative areas, using ISODATA clustering, morphological operations and vegetation classification. It then generates seasonal color adaptation of a target input image based on a pair of training images, which depict the same area but were captured in different seasons, using image analogies technique. The vegetation map ensures that only the colors of vegetative areas in the target image are altered and also improves the performance of the original image analogies technique. The proposed method can be used in flight simulations and other applications.
Rights
© 2008 CSREA Press.
Included with the kind written permission of the editor.
Original Publication Citation
Jakkula, S., Mantena, V. K. R., Pedada, R., Shen, Y., & Li, J. (2008) Seasonal adaptation of vegetation color in satellite images. In Hamid R. Arabnia (Ed.), Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008 (10-14) CRSEA Press.
Repository Citation
Jakkula, Srinivas; Mantena, Vamsi K.R.; Pedada, Ramu; Shen, Yuzhong; Li, Jiang; and Arabnia, Hamid R. (Ed.), "Seasonal Adaptation of Vegetation Color in Satellite Images" (2008). Electrical & Computer Engineering Faculty Publications. 409.
https://digitalcommons.odu.edu/ece_fac_pubs/409
ORCID
0000-0003-0091-6986 (Li)
Included in
Aeronautical Vehicles Commons, Electrical and Computer Engineering Commons, Plant Sciences Commons, Remote Sensing Commons