Aircraft-mounted hyperspectral spectrometers were used to collect imagery with high spatial
and spectral resolution for use in measuring optically active water quality characteristics of …

To map and manage forest vegetation including wetland communities, remote sensing
technology has been shown to be a valid and widely employed technology. In this paper …

Object detection in aerial images is a growing area of research, with maritime object
detection being a particularly important task for reliable surveillance, monitoring, and active …

Remote sensing technology has been used widely in mapping forest and wetland
communities, primarily with moderate spatial resolution imagery and traditional classification …

Conventional unsupervised classification algorithms that model the data in each class with a
multivariate Gaussian distribution are often inappropriate, as this assumption is frequently …

In this paper, we present a summary of our ongoing research on the classification of
hyperspectral images. We are experimenting with both supervised and unsupervised …

We approach the estimation of material percentages per pixel (endmember fractional
abundances) in hyperspectral remote-sensed images as a blind source separation problem …

Objective. In this paper, we conduct a detailed investigation on the effect of independent
component (IC)-based noise rejection methods in neural network classifier-based decoding …

The article deals with some new results of investigation, both theoretical and experimental,
in the area of image classification and segmentation of remotely sensed images. The article …

Abstract Multiple Targets Constrained Energy Minimization is the extension of Constrained
Energy Minimization in the case that the number of targets of interest is more than one. It …