Radar imaging has many advantages. Meanwhile, SAR images suffer from a noise-like
phenomenon called speckle. Many despeckling methods have been proposed to date but …

Optical images are rich in spectral information, but difficult to acquire under all-weather
conditions, while SAR images can overcome adverse meteorological conditions, but …

Images of different origin contain textures, and textural features in such regions are
frequently employed in pattern recognition, image classification, information extraction, etc …

Images acquired by synthetic aperture radars are degraded by speckle that prevents
efficient extraction of useful information from radar remote sensing data. Filtering or …

The evolution of modern sensors for image acquisition brings as much obstacles as many
possibilities to obtain multidimensional data with high resolution and rich information. One of …

This chapter addresses an important practical task of classification of multichannel remote
sensing data with application to multitemporal dual-polarization Sentinel radar images …

Synthetic aperture radar (SAR) images are corrupted by a specific noise-like phenomenon
called speckle that prevents efficient processing of remote sensing data. There are many …

In this paper, results of image denoising efficiency prediction for filter based on discrete
cosine transform (DCT) for the case of spatially correlated additive Gaussian Noise (SCGN) …

Signals acquired by different sensors are often noisy and are subject to filtering aimed to
reduce noise and preserve important information. Although a great number of different filters …

PROCESSING OF MULTICHANNEL REMOTE SENSING DATA USING NEURAL
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