Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Reference49 articles.
1. Bhaskaran, S., Paramananda, S., & Ramnarayan, M. (2010). Per-pixel and object-oriented classification methods for mapping urban features using Ikonos satellite data. Applied Geography,
30(4), 650–665.
2. Bovolo, F., Bruzzone, L., & Carlin, L. (2010). A novel technique for subpixel image classification based on support vector machine. IEEE Transactions on Image Processing,
19(11), 2983–2999.
3. Campbell, J. B. (1987). Introduction into remote sensing. New York: The Guildford Press.
4. Chaofan, W., Jinsong, D., Ke, W., Ligang, M., & Tahmassebi, A. R. S. (2016). Object-based classification approach for greenhouse mapping using Landsat-8 imagery. International Journal of Agricultural and Biological Engineering,
9(1), 79.
5. Chen, Y., Ge, Y., Heuvelink, G. B., Hu, J., & Jiang, Y. (2015). Hybrid constraints of pure and mixed pixels for soft-then-hard super-resolution mapping with multiple shifted images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
8(5), 2040–2052.
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