1. A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification. Issue 5 (3rd March 2020) Authors: Sothe, C.; De Almeida, C. M.; Schimalski, M. B.; Liesenberg, V.; La Rosa, L. E. C.; Castro, J. D. B.; Feitosa, R. Q. Journal: International journal of remote sensing Issue: Volume 41:Issue 5(2020) Page Start: 1943 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data. Issue 3 (2nd April 2020) Authors: Sothe, C.; De Almeida, C. M.; Schimalski, M. B.; La Rosa, L. E. C.; Castro, J. D. B.; Feitosa, R. Q.; Dalponte, M.; Lima, C. L.; Liesenberg, V.; Miyoshi, G. T.; Tommaselli, A. M. G. Journal: GIScience & remote sensing Issue: Volume 57:Issue 3(2020) Page Start: 369 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗