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Last years have witnessed an increased interest in the analysis of evolution of spatio-temporal structures in large data volumes. The current satellite remote sensing missions allow the recording of long Satellite Image Time Series (SITS) with passive and active sensors. However, the spatio-temporal characteristics of SITS imply different approaches. This paper aims at presenting an overview of these...
Compressive Sensing is an alternative to the acquisition and compression of sparse signals. One of the CS applications is the single pixel camera that reconsiders the conventional imaging systems. The key part of the camera is a Digital Micro-mirror Device (DMD), which is operated by a binary sensing matrix. The paper objective is to evaluate the CS performances in the case of three different binary...
The artifacts detection is a step of data cleaning process. The classical approach is to predict or determine the existence of defects, to model it, and then design a method to detect and correct them. This classical approach is for specific artifacts. The approach presented in this work is using complexity distortion theory to implement a more generic method, thus, this work will aim at developing...
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