Listar por autoría "78e7bbb9-91c9-4893-bc68-0d1f854c531a"
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Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets
Institute of Electrical and Electronics Engineers (IEEE) (2013)This paper presents a comparative analysis of six band selection methods applied to hyperspectral datasets for biophysical variable estimation problems, where the effect of denoising on band selection performance has ... -
Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation
Elsevier (2014-03)The urban heat island (UHI) refers to the phenomenon of higher atmospheric and surface temperatures occurring in urban areas than in the surrounding rural areas. Mitigation of the UHI effects via the configuration of ...
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Endmember Extraction From Hyperspectral Imagery Based on Probabilistic Tensor Moments
Institute of Electrical and Electronics Engineers (2020-01-13)This letter presents a novel hyperspectral endmember extraction approach that integrates a tensor-based decomposition scheme with a probabilistic framework in order to take advantage of both technologies when uncovering ...
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Exploring alternative spatial and temporal dense representations for action recognition
Springer-Verlag (2011)The automatic analysis of video sequences with individuals performing some actions is currently receiving much attention in the computer vision community. Among the different visual features chosen to tackle the problem ... -
Exploring some practical issues of SVM+: Is really privileged information that helps?
Elsevier (2014)Learning using privileged information (LUPI) is a machine learning paradigm which aims at improving classification by taking advantage of information that is only available at training time —not at test time. SVM+ is an ...
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Feature selection in regression tasks using conditional mutual information
Springer (2011)This paper presents a supervised feature selection method applied to regression problems. The selectionmethod uses a Dissimilarity matrix originally developed for classification problems, whose applicability is extended ...
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Filter banks for hyperspectral pixel classification of satellite images
Springer Verlag (Germany) (2009)Satellite hyperspectral imaging deals with heterogenous images containing different texture areas. Filter banks are frequently used to characterize textures in the image performing pixel classification. This filters are ...
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Filter-Type Variable Selection Based on Information Measures for Regression Tasks
MDPI AG (2012)This paper presents a supervised variable selection method applied to regression problems. This method selects the variables applying a hierarchical clustering strategy based on information measures. The proposed technique ...
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FloU-Net: An Optical Flow Network for Multi-modal Self-Supervised Image Registration
Institute of Electrical and Electronics Engineers (2023)Image registration is an essential task in image processing, where the final objective is to geometrically align two or more images. In remote sensing, this process allows comparing, fusing or analyzing data, specially ...
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Full-Color Stereoscopic Imaging With a Single-Pixel Photodetector
Institute of Electrical and Electronics Engineers (2016)We present an optical system for stereoscopic color imaging by using a single-pixel detector. The system works by illuminating the input scene with a sequence of microstructured light patterns generated by a color digital ...
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Fundamentals of automated human gesture recognition using 3D integral imaging: a tutorial
Optical Society of America (2020-12-31)Automated human gesture recognition is receiving significant research interest, with applications ranging from novel acquisition techniques to algorithms, data processing, and classification methodologies. This tutorial ...
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Generalized least squares-based parametric motion estimation
Elsevier (2009)The estimation of parametric global motion had a significant attention during the last two decades, but despite the great efforts invested, there are still open issues. The most important ones are related to the accuracy ...
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Guided Depth Completion Using Active Infrared Images in Time of Flight Systems
Springer (2023-06-27)Depth information has been successfully used in many computer vision applications, but depth imaging sensors frequently provide missing values, mainly around objects boundaries. These invalid values and image gaps cause ...
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Human gesture recognition under degraded environments using 3D-integral imaging and deep learning
Optical Society of America (2020)In this paper, we propose a spatio-temporal human gesture recognition algorithm under degraded conditions using three-dimensional integral imaging and deep learning. The proposed algorithm leverages the advantages of ...
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Human gesture recognition using three-dimensional integral imaging
Optical Society of America (2014)Three-dimensional (3D) integral imaging allows one to reconstruct a 3D scene, including range information, and provides sectional refocused imaging of 3D objects at different ranges. This paper explores the potential use ...
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Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
IEEE (2018-06)This paper presents a novel approach for spectral unmixing of remotely sensed hyperspectral data. It exploits probabilistic latent topics in order to take advantage of the semantics pervading the latent topic space when ...
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Incremental probabilistic Latent Semantic Analysis for video retrieval
Elsevier (2015-06)Recent research trends in Content-based Video Retrieval have shown topic models as an effective tool to deal with the semantic gap challenge. In this scenario, this paper has a dual target: (1) it is aimed at studying ...
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Integral imaging acquisition and processing for visualization of photon counting images in the mid-wave infrared range
Society of Photo-Optical Instrumentation Engineers (SPIE) (2016-06)In this paper, we present an overview of our previously published work on the application of the maximum likelihood (ML) reconstruction method to integral images acquired with a mid-wave infrared detector on two different ...
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Integral imaging techniques for flexible sensing through image-based reprojection
OSA Publishing (2017-10)In this work, a 3D reconstruction approach for flexible sensing inspired by integral imaging techniques is proposed. This method allows the application of different integral imaging techniques, such as generating a depth ...
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Intersensor Remote Sensing Image Registration Using Multispectral Semantic Embeddings
IEEE (2019-04)This letter presents a novel intersensor registration framework specially designed to register Sentinel-3 (S3) operational data using the Sentinel-2 (S2) instrument as a reference. The substantially higher resolution of ...
