Extreme learning machines for soybean classification in remote sensing hyperspectral images
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference43 articles.
1. M. Shimoni, G. Tolt, C. Perneel, J. Ahlberg, Detection of vehicles in shadow areas, in: 3rd Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2011, pp. 1–4.
2. B. Rivard, J. Feng, V. Bushan, M. Lipsett, Infrared reflectance hyperspectral features of athabasca oil sand ore and froth, in: 3rd Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2011, pp. 1–4.
3. I. Meganem, Y. Deville, S. Hosseini, H. Carfantan, M. Karoui, Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization, in: 3rd Workshop on Hyperspectral Image and Signal Processing(WHISPERS), 2011, pp. 1–4.
4. D. Krezhova, E. Kirova, Hyperspectral remote sensing of the impact of environmental stresses on nitrogen fixing soybean plants (Glycine max l.), in: 5th International Conference on Recent Advances in Space Technologies (RAST), 2011, pp. 172–177.
5. X. Ye, K. Sakai, Application of airborne hyperspectral imagery to estimating fruit yield in citrus, in: 3rd Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2011, pp. 1–6.
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