Listar LSI_Articles por autoría "b83c14e4-766a-4da4-bf1f-939429119880"
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On the influence of spatial information for hyper-spectral satellite imaging characterization
Springer (2011)Land-use classification for hyper-spectral satellite images requires a previous step of pixel characterization. In the easiest case, each pixel is characterized by its spectral curve. The improvementof the spectral and ... -
Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard
MDPI (2020)Forest fires are a natural phenomenon which might have severe implications on naturaland anthropogenic ecosystems. Future projections predict that, under a climate change environment,the fire season would be lengthier with ...
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Roadmap on 3D integral imaging: sensing, processing, and display
Optical Society of America (2020)This Roadmap article on three-dimensional integral imaging provides an overview of some of the research activities in the field of integral imaging. The article discusses various aspects of the field including sensing ...
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Semi- and Self-Supervised Metric Learning for Remote Sensing Applications
Institute of Electrical and Electronics Engineers Inc. (2024-03-25)Earth data collection from satellites and aircraft has exponentially grown, but a substantial portion of it remains unlabeled. This has prompted the remote sensing community to explore effective methods for leveraging ...
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Semi-supervised classification by probabilistic relaxation
(2012-10-24)In this paper, a semi-supervised approach based on probabilistic relaxation theory is presented. It combines two desirable properties; firstly, a very small number of labelled samples is needed and, secondly, the assignment ... -
Semi-supervised probabilistic relaxation for image segmentation
Springer-Verlag (2011)In this paper, a semi-supervised approach based on probabilistic relaxation theory is presented. Focused on image segmentation, the presented technique combines two desirable properties; a very small number of labelled ...
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Shot Noise Analysis for Differential Sampling in Indirect Time of Flight Cameras
IEEE (2023-01-12)Continuous wave Time of Flight cameras obtain depth images by emitting a modulated continuous light wave and measuring the delay of the received signal. One of the main sources of error is shot noise. In this letter we ...
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Single-frame super-resolution in remote sensing: a practical overview
Taylor & Francis (2017)Image acquisition technology is improving very fast from a performance point of view. However, there are physical restrictions that can only be solved using software processing strategies. This is particularly true in the ...
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Sparse Multi-modal probabilistic Latent Semantic Analysis for Single-Image Super-Resolution
Elsevier (2018)This paper presents a novel single-image super-resolution (SR) approach based on latent topics in order to take advantage of the semantics pervading the topic space when super-resolving images. Image semantics has shown ...
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Supervised feature selection by clustering using conditional mutual information-based distances
Elsevier (2010)In this paper, a supervised feature selection approach is presented, which is based on metric applied on continuous and discrete data representations. This method builds a dissimilarity space using information theoretic ...
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Three-dimensional imaging with multiple degrees of freedom using data fusion
Institute of Electrical and Electronics Engineers (2015)This paper presents an overview of research work and some novel strategies and results on using data fusion in 3-D imaging when using multiple information sources. We examine a variety of approaches and applications ...
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Three-Dimensional Integral Imaging for Gesture Recognition Under Occlusions
Institute of Electrical and Electronics Engineers (IEEE) (2017-02)Over the last years, three-dimensional (3-D) imaging has been applied to human action and gesture recognition, usually in the form of depth maps from RGB-D sensors. An alternative which has not been explored is 3-D integral ...
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Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing
Institute of Electrical and Electronics Engineers (2020-02-06)Unsupervised hashing methods have attracted considerable attention in large-scale remote sensing (RS) image retrieval, due to their capability for massive data processing with significantly reduced storage and computation. ...
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Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale
MDPI (2023)Current and upcoming Sun-Induced chlorophyll Fluorescence (SIF) satellite products (e.g., GOME, TROPOMI, OCO, FLEX) have medium-to-coarse spatial resolutions (i.e., 0.3–80 km) and integrate radiances from different sources ...
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W-NetPan: Double-U network for inter-sensor self-supervised pan-sharpening
Elsevier ScienceDirect (2023-02-08)The increasing availability of remote sensing data allows dealing with spatial-spectral limitations by means of pan-sharpening methods. However, fusing inter-sensor data poses important challenges, in terms of resolution ...
