Search results for "Signal and Image processing"
showing 10 items of 454 documents
Introduction to the Issue on Advances in Remote Sensing Image Processing
2011
The papers in this special issue span a wide range of problems arising in modern remote sensing data analysis and provide a snapshot in the state-of-the-art of remote sensing image processing. More advances are expected in the near future, mainly due to the increasing user demands in terms of spatial, spectral, and temporal resolutions of data, and of products generated from these data by automatic processing techniques.
Recent advances in remote sensing image processing
2009
Remote sensing image processing is nowadays a mature research area. The techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics, and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation…
A multilight approach for documenting and modeling the appearance of large cultural heritage objects
2022
In recent years, Computer Vision has played a major role in the investigation of sur-face appearance, particularly with the introduction of image-based rendering algorithms. Reflectance transformation Imaging (RTI) is one of these approaches. The RTI is a multi-light imaging technique that involves taking a series of images of an item using a stationary camera, while the location of the incident light varies in each photograph. Thanks to the information gathered from this type of acquisition, which is also defined as a Multi-light Image Collection (MLIC), it is possible to model the angular reflectance of a surface. The RTI is frequently employed in the documentation and study of architectu…
Studies of methods and tools for the really mixed visual coherence applied to the patrimony
2013
The work described in this report has as a target the mixed reality device ray-on, developed by the on-situ company. This device, dedicated to cultural heritage and specifically architectural heritage, is meant to be installed on-site and shows the user an uchronic view of its surroundings. As the chosen stance is to display photo-realistic images, two trails were followed: the improvement of the real-virtual merging by reproducing accurately the real lighting on the virtual objects, and the development of a real-time segmentation method which is resilient to lighting changes.Regarding lighting reproduction, an image-based rendering method is used in addition to a high dynamic range capture…
Influence of interaction techniques o n VIMS in virtual environments : estimation and prediction
2014
Understanding oculo-vestibular dynamics during sensory rearrangement in the central nervous system plays an extremely important role in better understanding human perception, and improves the technology in many engineering fields. Besides, the sensory conflict that occurs between ocular, vestibular and proprioception during sensory rearrangement at certain occasions might adversely affect the user performance in a wide variety of domains including flight/car simulators, scale-one 3D systems, large-scale displays, serious games, and so on. Therefore, knowing the condition in which the sensory conflict happens has a great deal of importance. This study aims at understanding the nature of sens…
An Efficient Hardware Architecture for the HEVC Intra Prediction
2014
International audience; A novel intra prediction hardware architecture forthe High Efficiency Video Coding (HEVC) is presented in thispaper in order to reduce the computation complexity within thisstandard and to accelerate the concerned calculations, and thusto process more and more of video frames at high resolutions. Wepropose a new pipelined structure that we called ProcessingElement (PE) to calculate the angular prediction modes, and werepeat it in three paths that our design composed of. And wepresent, in this paper, a dynamic structure to carry out thePlanar mode. This architecture supports all intra predictionmodes for 8x8 and 4x4 prediction unit sizes. The synthesis resultsshow tha…
Real-Time Temporal Superpixels for Unsupervised Remote Photoplethysmography
2018
International audience; Segmentation is a critical step for many computer vision applications. Among them, the remote photoplethys-mography technique is significantly impacted by the quality of region of interest segmentation. With the heart-rate estimation accuracy, the processing time is obviously a key issue for real-time monitoring. Recent face detection algorithms can perform real-time processing, however for unsupervised algorithms, i.e. without any subject detection based on supervised learning, existing methods are not able to achieve real-time on regular platform. In this paper, we propose a new method to perform real-time un-supervised remote photoplethysmograhy based on efficient…
Analysis of nonlinear coupling on the behavior of the sine-Gordon and Klein-Gordon models in bandwidth and forbidden bands
2017
In this thesis, we analyze the conditions of existence of the phenomenon of nonlinear supratransmission in two different models: a modified fifth-order Klein-Gordon system and a modified sine-Gordon system. The modified models considered here are those with mixed coupling, the pure linear coupling being associated with a nonlinear coupling. In particular, we quantify numerically the influence of the non-linear coupling coefficient on the threshold amplitude which triggers the phenomenon of non-linear supratransmission. Our main result shows that in both models, when the nonlinear coupling coefficient increases, the threshold amplitude triggering the phenomenon of nonlinear supratransmission…
Calibrating the effective scattering albedo in the SMOS algorithm: some first results
2016
International audience; This study focuses on the calibration of the effective scattering albedo (ω) of vegetation in the soil moisture (SM) retrieval at L-Band. Currently, in the SMOS Level 2 and 3 algorithms, the value of ω is set to 0 for low vegetation and ∼ 0.06 – 0.08 for forests. Different parameterizations of vegetation (in terms of ω values) were tested in this study. The possibility of combining soil roughness and vegetation contributions as a single parameter (“combined” method) leads to an important simplification in the algorithm and was also evaluated here. Following these assumptions, retrieved values of SMOS SM were compared with SM data measured over many in situ sites worl…
Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe
2015
International audience; This paper focuses on a new approach to account for soil roughness effects in the retrieval of soil moisture (SM) at L-band in the framework of the SMOS (Soil Moisture and Ocean Salinity) mission: the Simplified Roughness Parameterization (SRP). While the classical retrieval approach considers SM and τ nad (vegetation optical depth) as retrieved parameters, this approach is based on the retrieval of SM and the TR parameter combining τ nad and soil roughness (TR τ nad + Hr /2). Different roughness parameterizations were tested to find the best correlation (R), bias and unbiased RMSE (ubRMSE) when comparing homogeneous retrievals of SM and in situ SM measurements carri…