1 code implementation • 1 Apr 2018 • Ronald Kemker, Utsav B. Gewali, Christopher Kanan
Deep learning continues to push state-of-the-art performance for the semantic segmentation of color (i. e., RGB) imagery; however, the lack of annotated data for many remote sensing sensors (i. e. hyperspectral imagery (HSI)) prevents researchers from taking advantage of this recent success.
no code implementations • 23 Feb 2018 • Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
The paper is comprehensive in coverage of both hyperspectral image analysis tasks and machine learning algorithms.
2 code implementations • 25 Jan 2018 • Utsav B. Gewali, Sildomar T. Monteiro
However, graphical models have not been easily accessible to the larger remote sensing community as they are not discussed in standard remote sensing textbooks and not included in the popular remote sensing software and toolboxes.
no code implementations • 22 Oct 2016 • Utsav B. Gewali, Sildomar T. Monteiro
Statistical models have been successful in accurately estimating the biochemical contents of vegetation from the reflectance spectra.
no code implementations • 22 Oct 2016 • Utsav B. Gewali, Sildomar T. Monteiro
We compare the proposed methods with the state-of-the-art Markov random field methods that use support vector machines and Gaussian processes with squared exponential kernel/covariance function.