Hyperspectral unmixing, which decomposes pixel spectra into a collection of constituent
spectra, is a preprocessing step for hyperspectral applications like target detection and …

Optical satellite imagery is often contaminated by the persistent presence of clouds and
atmospheric haze. Without an effective method for removing this contamination, most optical …

This paper investigates the efficiency of spectral screening as a tool for speedup in
hyperspectral image processing. Spectral screening is a technique for reducing the …

Рассматриваются вопросы обработки данных дистанционного зондирования Земли с
целью обнаружения и идентификации объектов природного и антропогенного …

Actualization of vector maps of the urban transport infrastructure, including street and road
network, in conditions of constant changes is a resource-consuming task and it requires the …

Yu. N. Zhuravel, AA Fedoseev, “The features of hyperspectral remote sensing data
processing under environment monitoring tasks solution”, Computer Optics, 37:4 (2013) …

The paper investigates the efficiency of spectral metrics when used in spectral screening of
hyperspectral imagery. Spectral screening is the technique of selecting from the data a …

Automated image endmember extraction from hyperspectral imagery is a challenge and a
critical step in spectral mixture analysis (SMA). Over the past years, great efforts were made …

This paper investigates the efficiency of spectral metrics when used in spectral screening of
hyperspectral imagery. Spectral screening is the technique of selecting from the data a …

This paper presents a new stochastic algorithm to optimize the independence criterion-
mutual information-among multivariate data using local, global, and hybrid optimizers, in …