Evaluation of Deep Learning CNN Model for Land Use Land Cover Classification and Crop Identification Using Hyperspectral Remote Sensing Images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
http://link.springer.com/content/pdf/10.1007/s12524-019-01041-2.pdf
Reference32 articles.
1. Baumgardner, M. F., Biehl, L. L., & Landgrebe, D. A. (2015). 220 band AVIRIS hyperspectral image data set: June 12, 1992 indian pine test site 3. Purdue University Research Repository. https://doi.org/10.4231/r7rx991c .
2. Becherer, N., Pecarina, J., Nykl, S., & Hopkinson, K. (2017). Improving optimization of convolutional neural networks through parameter fine-tuning. Neural Computing and Applications. https://doi.org/10.1007/s00521-017-3285-0 .
3. Bhosle, K., & Musande V. (2017). Stress monitoring of mulberry plants by finding REP using hyperspectral data. In The international archives of the photogrammetry, remote sensing and spatial information sciences (Vol. XLII-1/W1).
4. Byrnep, G. F., Crapperk, F., & Mayo, K. (1980). Monitoring land-cover change by principal component analysis of multitemporal landsat data. Journal of Remote Sensing of Environment, 10(3), 175–184. https://doi.org/10.1016/0034-4257(80)90021-8 .
5. Carr, S. B., Bernstein, L. S., & Adler-Golden, S. M. (2015).The Quick Atmospheric Correction (QUAC) algorithm for hyperspectral image processing: extending QUAC to a coastal scene. In International conference on digital image computing: Techniques and applications (DICTA). https://doi.org/10.1109/dicta.2015.7371314 .
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