2016 9th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2016

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Computer Science

Decision Sciences
- Information Systems and Management

Engineering
- Electrical and Electronic Engineering

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

On 04.12.2016 the 9th Workshop on Pattern Recognition in Remote Sensing (PRRS-9-2016) was held in Cancun, Mexico, in conjunction with the 2016 International Conference on Pattern Recognition (ICPR 2016). The PRRS workshop series is organized by the Technical Committee 7 (Remote Sensing and Mapping) of the International Association for Pattern Recognition (IAPR-TC7). PRRS-9-2016 was co‐sponsored by IAPR-TC7, IEEE Geoscience and Remote Sensing Society (GRSS), and the International Society for Photogrammetry and Remote Sensing (ISPRS) working group II/III (Pattern Analysis in Remote Sensing). The proceedings at hand include the 14 papers presented at the PRRS-9- 2016. Remotely sensed data, such as satellite and aerial imagery, set one of the classical application topics of pattern recognition. One main goal of the PRRS workshops is drawing experts and researchers from the photogrammetry and remote sensing communities to the ICPR and make them aware of the IAPR – fostering inter-disciplinary cooperation. Next to classical pixel-wise land-use classification on satellite or aerial imagery more sophisticated modern remote sensing devices – such as hyper-spectral sensors, or synthetic aperture radars (SAR), or laser range measuring devices (LIDAR) – provide new challenges for pattern recognition methods, partly because of the huge mass of data they provide. On the other hand lately made progress in pattern recognition – such as deep learning convolutional networks, manifold estimation, or archetypal self-taught learning – help increasing the performance in recognition from remotely sensed data. 17 manuscripts were submitted for PRRS-9-2016 and reviewed using a single‐blind review process by a program committee of international experts. 14 were accepted and all of these were presented orally at the workshop. Additionally a key-note on manifold estimation for hyperspectral data was given by Professor Devis Tuia from the University of Zurich.

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2018	0.287
2019	0.233
2020	0.240

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2018	0
2019	0
2020	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2018	1.125
Cites / Doc. (4 years)	2019	0.813
Cites / Doc. (4 years)	2020	1.188
Cites / Doc. (3 years)	2018	1.125
Cites / Doc. (3 years)	2019	0.813
Cites / Doc. (3 years)	2020	1.188
Cites / Doc. (2 years)	2018	1.125
Cites / Doc. (2 years)	2019	0.813
Cites / Doc. (2 years)	2020	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2018	0
Self Cites	2019	0
Self Cites	2020	0
Total Cites	2018	18
Total Cites	2019	13
Total Cites	2020	19

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2018	1.125
External Cites per document	2019	0.813
External Cites per document	2020	1.188
Cites per document	2018	1.125
Cites per document	2019	0.813
Cites per document	2020	1.188

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2018	0
2019	0
2020	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2018	2
Non-citable documents	2019	2
Non-citable documents	2020	2
Citable documents	2018	14
Citable documents	2019	14
Citable documents	2020	14

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2018	9
Uncited documents	2019	11
Uncited documents	2020	11
Cited documents	2018	7
Cited documents	2019	5
Cited documents	2020	5

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2018	0.00
2019	0.00
2020	0.00

Documents cited by public policy (Overton)

Evolution of the number of documents cited by public policy documents according to Overton database.

Documents	Year	Value
Overton	2018	0
Overton	2019	0
Overton	2020	0

Documents related to SDGs (UN)

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

Documents	Year	Value
SDG	2018	0
SDG	2019	0
SDG	2020	0

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