CBMI Special Session on Indexing, Retrieval, Annotation and Mining in Earth Observation

Event Dates

Sep 04, 2018 - Sep 06, 2018

Location

La Rochelle, France

Submission Deadline

May 18, 2018

(Apologies for multiple postings)

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Call for papers: Special Session on Indexing, Retrieval, Annotation and Mining in Earth Observation (IR4EO)

CBMI 2018 – La Rochelle, France 4-6 Sept 2018

http://cbmi2018.univ-lr.fr/special-session-on-indexing-retrieval-annotation-and-mining-in-earth-observation-ir4eo/

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* Important dates:

Paper submission: May 18, 2018

Notification of acceptance: June 29, 2018

Camera-ready papers due: July 13, 2018

* Organizers:

Sébastien Lefèvre, Université de Bretagne Sud, IRISA (sebastien.lefevre@irisa.fr)

Josiane Mothe, Université de Toulouse, IRIT CNRS (Josiane.Mothe@irit.fr)

* Call for papers:

The proliferation of Earth Observation satellites, together with their

continuously increasing performances, provides today a massive amount of

geospatial data. Analysis and exploration of such data leads to various

applications, from agricultural monitoring to crisis management and

global security. However, they also raise very challenging problems,

e.g. dealing with extremely large and real time geospatial data,

user-friendly querying and retrieval satellite images or mosaics,

semantic indexing and annotation. The purpose of this special session is

to address these challenges, and to allow researchers from multimedia

retrieval and remote sensing to meet and share their experiences in

order to build the remote sensing retrieval systems of tomorrow. This

special session aims to establish connections between researchers from

multimedia retrieval and issues raised in remote sensing, and to provide

interesting problems to the former while providing solutions for the

latter. On the one hand, geospatial data requires specific models of

description, with characteristics very different from other domains. To

name a few, remotely sensed images are not necessarily defined in usual

color spaces, they compose large-scale mosaics enabling a continuous

global cover of the earth, they can be analysed and understood at

various scales, etc. On the other hand, the multimedia retrieval

community propose many scalable algorithms for learning, searching, or

classifying data in a more generalist way. This special session will be

a very interesting opportunity for multimedia researchers to propose

adaptations to geospatial data, and for remote sensing researchers to

create new models compatible with retrieval algorithms, while offering a

context where people from these two domains can meet and share their

experiences. Earth Observation is one of the major resource of visual

data that still greatly lacks of efficient and effective methods for

indexing and retrieval. Major challenges are faced since the geospatial

data available worldwide is at the order of magnitude of ZettaBytes.

Besides, thanks to the efforts of NASA in the USA and Copernicus program

in Europe, satellite images provided free of charge to end-users

represent several new TB every day. To ease the design of new solutions,

the scientific community benefits from the availability of an increasing

number of public benchmarks, such as: UC Merced Land Use Dataset,

Brazilian Coffee Scenes Dataset, SAT-4 and SAT-6 airborne datasets,

Sentinel-2 EuroSAT dataset, ISPRS 2D and 3D Semantic Labeling benchmark,

ImageClef 2017 Remote Pilot task, IEEE Data Fusion Contest, Kaggle

contests, etc. This is expected to ensure fair comparison of methods and

to support the evolution of the state-of-the-art.

* Topics of interest include (but are not limited to):

– Content- and context-based indexing, search and retrieval of EO data

– Semantic annotation

– Deep Learning and CBIR of EO data

– Search and browsing on EO repositories

– Change detection and its applications,

– Near real time monitoring,

– Multimodal / multi-observations (sensors, dates, resolutions) analysis of EO data

– HCI issues in EO retrieval and browsing

– Evaluation of EO retrieval systems, benchmarks for EO indexing and retrieval tasks

– High-performance, large-scale indexing algorithms for EO data

– Data fusion

– Summarization and visualization of very large satellite image datasets

– Applications: deforestation detection, air pollution detection and

prediction, climate change, monitoring of resources, from land cover to

phenology, photosynthetic activity, etc. Submissions should be sent via

easychair and follow the IEEE format (see CBMI call). Each submission

will be peer reviewed by at least 3 PC members (general PC and special

session PC). The title of the submission should include “(SS on

IR4EO)” to avoid misclassification.

Since the Remote Sensing journal as an open call for a special issue on

these topics

(http://www.mdpi.com/journal/remotesensing/special_issues/ir2s) with a

deadline of 30th of September, the best papers from the special session

will be encouraged to submit an extended journal version to this special

issue. The selection of the papers will be eased by the fact that one

of the special session organizers is also the leading guest editor of

the special issue.

* Invited speaker:

Begüm Demir is associate professor at the University of Trento (Italy).

In 2017, she got an (ERC) Starting Grant with the project « BigEarth –

Accurate and Scalable Processing of Big Data in Earth Observation ».

* Session programme committee members:

Erchan Aptoula, Gebze Technical University, Istanbul, Turkey (eaptoula@gtu.edu.tr) – http://bte.gtu.edu.tr/~eaptoula/

Alexandre Benoit, Université Savoie Mont Blanc (alexandre.benoit@univ-smb.fr) – https://sites.google.com/site/benoitalexandrevision/

Piero Boccardo, DIST, Politecnico di Torino, Ithaca (piero.boccardo@polito.it) – https://www.researchgate.net/profile/Piero_Boccardo2

Mihai Datcu, DLR, Germany (mihai.datcu@dlr.de) – https://scholar.google.de/citations?user=nKMSFeIAAAAJ

Fabio Del Frate, Università di Roma Tor Vergata, Italy (Fabio.Del.Frate@uniroma2.it)

Fabio Dell’Acqua, Department of Electrical, Computer, Biomedical EngineeringUniversity of Pavia, Italy (fabio.dellacqua@unipv.it) – http://unipv.academia.edu/FabioDellAcqua

Begüm Demir, University of Trento, Italie (begum.demir@unitn.it) – http://begumdemir.com

Jefferson Dos Santos, Universidade Federal de Minas Gerais, Brazil (jefersson@dcc.ufmg.br) – http://www.dcc.ufmg.br/~jefersson

Mathieu Roche, Research Scientist (PhD, HDR), CIRAD – Environments and Societies Department UMR TETIS, (mathieu.roche@cirad.fr)

Sergi Trilles Oliver, Universitat Jaume I, Spain (strilles@uji.es) – https://www.researchgate.net/profile/Sergi_Trilles_Oliver