25 research outputs found
Companinon Dataset for PASTIS : VHR satellite images (SPOT 6-7)
No full text<p>To enhance the spatial resolution and utility of <a href="https://github.com/VSainteuf/pastis-benchmark">PASTIS-R dataset</a>, we introduce PASTIS-HD, which integrates contemporaneous VHR satellite images (SPOT 6-7), resampled to a 1m resolution and converted to 8 bits. This enhancement significantly improves the dataset's spatial content, providing more granular information for agricultural parcel segmentation.</p>
<p>This folder can be added to the PASTIS-R dataset to get the PASTIS-HD version.<br><br>The SPOT images are opendata thanks to the Dataterra Dinamis initiative in the case of the <a href="https://dinamis.data-terra.org/opendata/">"Couverture France DINAMIS" program</a>.<br><br></p>
<p>If you use PASTIS please cite the <a href="https://arxiv.org/abs/2107.07933" rel="nofollow">related paper</a>:</p>
<blockquote>
<p>@article{garnot2021panoptic,<br> title={Panoptic Segmentation of Satellite Image Time Series<br>with Convolutional Temporal Attention Networks},<br> author={Sainte Fare Garnot, Vivien and Landrieu, Loic },<br> journal={ICCV},<br> year={2021}<br>}</p>
</blockquote>
<p><br><br>For the PASTIS-R optical-radar fusion dataset, please also cite <a href="https://arxiv.org/abs/2112.07558v1" rel="nofollow">this paper</a>:</p>
<blockquote>
<pre>@article{garnot2021mmfusion,
title = {Multi-modal temporal attention models for crop mapping from satellite time series},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
year = {2022},
doi = {https://doi.org/10.1016/j.isprsjprs.2022.03.012},
author = {Vivien {Sainte Fare Garnot} and Loic Landrieu and Nesrine Chehata},
}</pre>
</blockquote>
<p>For the PASTIS-HD with the 3 modality optical-radar time series plus VHR images dataset, please also cite <a href="https://arxiv.org/abs/2404.08351">this paper</a>:</p>
<blockquote>
<p>@article{astruc2024omnisat,<br> title={Omni{S}at: {S}elf-Supervised Modality Fusion for {E}arth Observation},<br> author={Astruc, Guillaume and Gonthier, Nicolas and Mallet, Clement and Landrieu, Loic},<br> journal={arXiv preprint arXiv:2404.08351},<br> year={2024}<br>}</p>
</blockquote>
Simultaneous image restoration and hyperparameter estimation for incomplete data by a cumulant analysis
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Elieser: Manuel Utilisateur
No full text: pto) : Ce travail a ete partiellement finance par une bourse AFIRST-MOST (Cooperation Scientifique FrancoIsrae lienne). : Institute of Computer Science, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel, Email : [email protected] : Email : [email protected] Unite de recherche INRIA Sophia-Antipolis 2004 route des Lucioles, BP 93, 06902 SOPHIA-ANTIPOLIS Cedex (France) Telephone : (33) 93 65 77 77 -- Telecopie : (33) 93 65 77 65 ELIESER : USER MANUAL Abstract: ELIESER (Extraction de Lignes sur ImagEs Satellite avec une Energie par Regions) is a software for detecting lines on satellite images. It has been developed jointly at INRIA Sophia-Antipolis and at the Hebrew University of Jerusalem, and implemented using Motif c fl in a package (iview) developed at INRIA. We present herein its interface. Key-words: ELIESER, Motif, lines detection, satellite images ELIESER : Manuel Utilisateur 3 1 Introduction ELIESER (Extraction de Lignes sur ImagEs Satellite avec u..
Projet ORASIS
No full textCe rapport présente les résultats des activités menées en Vision dans le cadre du projet ORASIS rattaché au PRC Communication Homme-Machine. Ces résultats portent sur la stéréovision, la segmentation d'images, la modélisation des incertitudes en perception et l'interprétation des scènes
Towards Robust Analysis of Satellite Images Using Map Information - Application to Urban Area Detection
No full textWith the rapid development in remote sensing, digital image processing becomes an important tool for quantitative and statistical analysis of remotely sensed images. These images contain most often complex natural scenes. Robust interpretation of such images requires the use of different sources of information about the scenes under consideration. This paper presents an integrated approach to the robust analysis of remotely sensed images by using multi-spectral SPOT image data, as well as map knowledge and contextual information. Several techniques are proposed for the effective use of map information for urban area detection in SPOT images. The first one is concerned with the modeling of SPOT images and map information using Markov random fields, which in turn permits application of various existing energy minimization algorithms for solving image analysis problems. The second one is on a new iterative optimization algorithm which automatically adjusts the optimal valures of the paramet..
Projet ORASIS
No full textCe rapport présente les résultats des activités menées en Vision dans le cadre du projet ORASIS rattaché au PRC Communication Homme-Machine. Ces résultats portent sur la stéréovision, la segmentation d'images, la modélisation des incertitudes en perception et l'interprétation des scènes
Projet ORASIS
No full textCe rapport présente les résultats des activités menées en Vision dans le cadre du projet ORASIS rattaché au PRC Communication Homme-Machine. Ces résultats portent sur la stéréovision, la segmentation d'images, la modélisation des incertitudes en perception et l'interprétation des scènes
Modelling Image Redundancy
No full text: C.E. Shannon in his Information Theory defined a rate of information transmission of a transmitter-receiver couple. We use this concept to define three models of image redundancy. First we apply information theory to a simple model considering an image as a set of isolated pixels. Then we introduce a Markov Random Field model to take into account the neighbourhood of a pixel. We show that we have to determine some parameters of the MRF in order to obtain sufficient statistics from common satellite images, and we propose a measure based on a generalized Ising model. Our third model considers the correspondence between grey level vectors of cliques. We introduce a distance in the grey level space to solve the problem of insufficient statistics. Finally, results for the proposed definitions are presented for some synthetic and a large variety of SPOT XS1, XS2 and XS3 image triples and are compared to the classical correlation coefficient measure. Key-words: Image redundancy, entropy, m..
Application of Projection Learning to the Detection of Urban Areas in SPOT Satellite Images
No full text: We introduce a novel learning algorithm for neural networks, with the major feature of being rapid when compared to classical learning algorithms, offering misclassification rates of 5% and less after only a few iterations, i.e. 20-30 seconds of learning, depending on the task, if a suitable preprocessing has been done. The algorithm is based on considering a neural network as a base in function space, base onto which the function to be learned is projected. We thus call our algorithm projection learning. We present the algorithm, show the application to the detection of inhabited areas in satellite images, discuss the various preprocessors used, compare to other approaches used, and outline further directions of research Key-words: Learning in computer vision, segmentation and perceptual grouping, neural networks, texture analysis, pixel-based classification, low-level processing, feedforward networks, satellite image analysis (R'esum'e : tsvp) [email protected] giraudon@soph..
Representations of Jews and Judaism in The Dialogue of Timothy and Aquila : Construct or social reality?
No full textThe Dialogue of Timothy and Aquila (TA) is an anonymous literary disputation between a Christian and a Jew that is placed in the days of Cyril, Archbishop of Alexandria (412-444 C.E.). Although an earlier form of this text circulated in the third century, the final form of TA emerged in the fifth. This study uses TA to address the problem of assessing information about Jews and Judaism in such polemical, Christian sources. The approach to this project is both historical and literary-critical. The history of relations between Jews and Christians is one set of evidence against which literary accounts of those relations are compared. The principal task is to evaluate evidence that has explicit corroboration in Jewish sources, rabbinic and non-rabbinic; literary and non-literary, as well as evidence that is uncorroborated. The literary critique focuses on the question of precisely how form affects content; how dialogue genre contributes to the portrayals of Judaism it preserves. While the author of the earlier source might have had some first hand acquaintance with Jews, the final form of the text betrays no explicit knowledge of Jews living in a fifth century, Egyptian context. TA does not represent a transcript of an actual disputation but reflects an idealized Christian account of such a disputation. Since the text makes almost no attempt to address contemporary Judaism or issues in relations between Christians and Jews, it could not have been adequate as a Christian disputation manual. Indeed, by importing the earlier form of TA into a later context, the final editor implicitly represents Judaism as frozen in the controversies that engaged Trypho and Justin in the mid-second century. However, as a text concerned with Christian catechesis it is certainly adequate for less sophisticated readers. As such, the Jew, Jews, and Judaism function as heuristic devices in TA and betray no direct interest in the conversion of Jews, unlike what the text superficially presents
