Speckle reduction in Synthetic Aperture Radar (SAR) images is a crucial challenge for effective image analysis and interpretation remote sensing applications. This study proposes novel deep learning-based approach using autoencoder architectures SAR despeckling, incorporating of variance (ANOVA) hyperparameter optimization. The research addresses significant gaps existing methods, such as the lack rigorous model evaluation absence systematic optimization techniques learning models...

SAR (Synthetic Aperture Radar) imaging plays a central role in Remote Sensing due to, among other important features, its ability to provide high-resolution, day-and-night and almost weather-independent images. images are affected from granular contamination, speckle, that can be described by multiplicative model. Many despeckling techniques have been proposed the literature, as well measures of quality results they provide. Assuming model, observed image Z is product two independent fields:...

We present a method to automatically correct the radial distortion caused by wide-angle lenses using distorted lines generated projection of 3D straight onto image. Lens is estimated division model one parameter, which allows state problem into Hough transform scheme adding parameter better extract from This paper describes an algorithm applies this technique, providing all details design improved transform. perform experiments calibration patterns and real scenes showing strong illustrate...

We present a method for the automatic estimation of two-parameter radial distortion models, considering polynomial as well division models. The first detects longest distorted lines within image by applying Hough transform enriched with parameter. From these lines, parameter is estimated, then we initialize second to zero and model embedded into an iterative nonlinear optimization process improve estimation. This aims at reducing distance from edge points adjusting two parameters coordinates...

Remote Sensing is both an active research area and the source of valuable information for decision-making. Many actors play a fundamental role in Sensing, from industry (public or private) to large small groups. From that intensive activity, methods, algorithms, techniques are continuously published broadcasted through papers, conference presentations, repositories, patents, standards, other means. The consumers need it be readily available dependable. Reproducible can handle those needs. In...

When training Artificial Intelligence and Deep Learning models, especially by using Supervised techniques, a labeled dataset is required to have an input with data its corresponding output data. In the case of images, for classification, segmentation, or other processing tasks, pair images in same sense, one image as (the noisy image) desired denoised output. For SAR despeckling applications, common approach set optical that then are corrupted synthetic noise, since there no ground truth...

The Aburrá Valley, located in the northwestern region of Colombia, has undergone significant land cover changes and urban expansion recent decades, driven by rapid population growth infrastructure development. This region, known for its steep topography dense urbanization, faces considerable environmental challenges. Monitoring these transformations is essential informed territorial planning sustainable study leverages Synthetic Aperture Radar (SAR) imagery from Sentinel-1 mission, covering...

The speckle is a granular undesired pattern present in Synthetic-Aperture Radar (SAR) imagery. Despeckling has been an active field of research during the last decades, with approaches from local filters to non-local that calculate new value pixel according characteristics other pixels are not close, more advanced paradigms based on deep learning, and newer generative artificial intelligence. For latter, it necessary have large enough labeled dataset for training validation. In this study,...

Synthetic aperture radar (SAR) images are corrupted with a multiplicative granular-like noise pattern known as speckle. The goal for despeckling filter consists of suppressing the speckle while preserving all scene features such texture, point-type targets, and, especially, edges. There exist several filtering techniques and relevant number image quality indexes to evaluate performances operation on an SAR image. However, assessing superiority over other is not trivial issue. In this work,...

This paper presents a methodology to detect the coastal erosion and progradation effects in ‘Atrato River’ delta, located Gulf of Urabá Colombia, using SAR (Synthetic Aperture Radar) images. Erosion is physical–mechanical loss soil that affects its functions ecosystem services while producing reduction productive capacity. Progradation deposition layers basinward direction moving coastward. Other studies have investigated these two phenomena optical images, encountering difficulties due...

A very important property of the usual pinhole model for camera projection is that 3D lines in scene are projected to 2D lines. Unfortunately, wide-angle lenses (specially low-cost lenses) may introduce a strong barrel distortion, which makes fail. Lens distortion models try correct such distortion. We propose an algebraic approach estimation lens parameters based on rectification image. Using proposed method, obtained by minimizing 4 total-degree polynomial several variables. perform...

This paper presents an analysis of different despeckling filters applied on both synthetically corrupted optical images and actual Synthetic Aperture Radar (SAR) images. Several authors use as ground truth then the are by using a Gamma model to simulate speckle, while other approaches methods like multitemporal fusion generate SAR images, which provides result somehow equivalent one from common multi look technique. Well-known filters, local, non-local some them based artificial intelligence...

ABSTRACT The signal received in a mobile radio environment exhibits rapid level fluctuations which are generally Rayleigh‐distributed. These result from interference by multiple scattered paths between the base station and receptor. Fading‐shadowing effects wireless channels usually modelled means of Rayleigh–Lognormal distribution (RL), has complicated integral form. K‐distribution (K) is similar to RL but it simpler form its probability density function admits closed form; however, due...

The aim of this study was to assess the applicability and reliability a single wide-angle lens GoPro® camera for tracking kinematics analysis futsal players. An official game Brazilian professional team in quarter-final round 2013 São Paulo league recorded by four digital video cameras (30 Hz; 720 × 480) placed at highest points court (40 20 m; FIFA standard). We compared performed with three equipped conventional lenses 170° field view. Manual automatic players trajectories (n = 5; 23.20 ±...

Speckle reduction is an important problem in synthetic aperture radar (SAR) image analysis. Recent years have seen how Bayesian filters emerge as the natural extension of nonlocal means filters, providing a general framework to deal with multiplicative (speckle) noise. In this paper, we present easy-to-use software tool applying evolutionary algorithm optimize filter sigma preselection for denoising SAR images. The desired result filtered having significative its variance but preserving...

Atomic diffusion is usually understood as a succession of random, independent displacements an adatom over the surface's potential energy landscape. Nevertheless, analysis Molecular Dynamics simulations self-diffusion on Cu(111) demonstrates existence different types correlations in atomic jumps at all temperatures. Thus, cannot be correctly described terms random walk model. This fact has profound impact determination and interpretation coefficients.