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Shadow detection in hyperspectral images acquired by uav
(2019-06-04)
Shadows are common in any kind of remote sensing images. Unmanned Aerial Vehicle – UAV with a light camera attached can acquire images illuminated either by direct sunlight or by diffuse light under clouds. Indeed, ...
Restauração de imagens com precisão subpixel utilizando restrições convexas
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2016-12-09)
The super-resolution aims to obtain a higher resolution image, using information from one or more low resolution images. There are different applications where super-resolution may be used, such as medical and forensic ...
FusionImage: an R package for pan-sharpening images in open source software
(2020)
the objective of this article is to evaluate the performance of three pan-sharpening algorithms (high-pass filter, principal component analysis and Gram–Schmidt) to increase the spatial resolution of five types of multispectral ...
Shadow detection improvement using spectral indices and morphological operators in Urban Areas in high resolution images
(2015-01-01)
While high-resolution remote sensing images have increased application possibilities for urban studies, the large number of shadow areas has created challenges to processing and extracting information from these images. ...
Analysis of the radiometric response of orange tree crown in hyperspectral uav images
(2017-10-19)
High spatial resolution remote sensing images acquired by drones are highly relevant data source in many applications. However, strong variations of radiometric values are difficult to correct in hyperspectral images. ...
Uma abordagem híbrida baseada em Projeções sobre Conjuntos Convexos para Super-Resolução espacial e espectral
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2016-11-10)
This work proposes both a study and a development of an algorithm for super-resolution of digital images using projections onto convex sets. The method is based on a classic algorithm for spatial super-resolution which ...
Improvement of leaf nitrogen content inference in Valencia-orange trees applying spectral analysis algorithms in UAV mounted-sensor images
(Elsevier B.V., 2019-11-01)
Nitrogen is one of the main required nutrients for the production of citrus plants. Farmers have used the chemical analysis of leaf tissue to determine the amount of nitrogen needed in a crop. However, its possible to ...
Multiplexed imaging of intracellular protein networks
(Wiley-liss, Div John Wiley & Sons Inc, 2016-05)
Cellular functions emerge from the collective action of a large number of different proteins. Understanding how these protein networks operate requires monitoring their components in intact cells. Due to intercellular and ...
Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería, 2016-09-01)
Hyperspectral imaging (HSI) is used in a wide range of applications such as remote sensing, space imagery, mineral detection, and exploration. Unfortunately, it is difficult to acquire hyperspectral images with high spatial ...
Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging
(Optica Publishing Group (formerly OSA), 2022)
This article presents an algorithm to improve spatial resolution from a sequence of multispectral microscopy images cubes. We propose to use spatial regularization terms that exploit the spatial-spectral structural similarity ...