1- Organization of the Contest
1-1- Introduction
The 2015 SMPR student contests are organized by the scientific committee of Sensors and Models in Photogrammetry and Remote Sensing International conference, in order to provide a challenging opportunity for students and researchers to develop professionally and technically.
The main goal of the contests is to promote progress on remotely sensed data interpretation and analysis techniques and methodologies with the focus on Geo-Information Modeling and Environmental Monitoring.
1-2- Contests
The 2015 SMPR student contest involves two parallel competitions:
- The 2015 SMPR Change Modeling and Prediction Contest
- The 2015 SMPR Data Fusion Contest
Participants should submit 6-page ISPRS-style manuscripts and their results based on the following rules and conditions just before September 23, 2015.
The papers can be written in English or Persian format provided by the 2015 SMPR conference website.
The 2015 SMPR scientific committee is responsible to evaluate and rank the received papers and results based on the novelty, scientific contribution, methodological approach, experimental validation, and clarity of explanation for each contest.
Important Note: Please be careful to follow all of the terms and conditions to accept the submission by the 2015 SMPR scientific committee.
1-2-1- The 2015 SMPR Change Modeling and Prediction Contest
THE SUBJECT: This contest is designed with the aim of the environmental changes detection and evaluation in order to measures the main factors in land cover changes and estimate the trend of land use changes in the future by integration of Remote Sensing and Geo-Information techniques.
THE DATA: Participants will be provided with the remotely sensed data sources with intervals of two years which cover a full area of Lake Urmia, Azerbaijan province, Iran, were provided by U.S. Geological Survey organization, include:
- Different Landsat mosaic images captured during 2007 to 2013 at 30 and 15 meters resolutions.
- A 30 meters ASTER Global Digital Elevation Model (GDEM).
The multi temporal Landsat images and the GDEM over the Lake Urmia are shown as Figure 1.
Figure 1. Landsat images and GDEM of Lake Urmia for the 2015 SMPR Change Modeling and Prediction Contest
Also, some additional datasets over Lake Urmia include the weather information by synoptic stations, some vector data of main roads, city centers, global rivers which are prepared by different organizations, are provided for the Modeling and Prediction Contest.
To request the dataset related to Modeling and Prediction Contest, you should fill the registration form of 2015 SMPR conference, then a download link is sent to your email address.
Important Note: Participants will be forced to use the aforementioned data for the change Modeling and Prediction Contest as the main datasets of the contest, however they can also use their own additional data as the auxiliary data sources. In this case, the auxiliary data sources should be upload with the results in order to approve by the 2015 SMPR scientific committee.
THE METHODOLOGY: Using the mentioned data, the model of land use changes over the Lake Urmia is generated and analyzed to forecast the future changes in 2015.
*** The mentioned dataset is available through conference email, please contact to "smpr@ut.ac.ir"
1-2-1- The 2015 SMPR Data Fusion Contest
THE SUBJECT: The main goal of this contest is promoting progress on fusion and analysis methodologies for multisource remote sensing data.
THE DATA: Participants will be provided with the remotely sensed data sources at very high spatial resolution which cover an urban and harbor area in Zeebruges, Belgium, and were provided by the Belgian Royal Military Academy, include:
- LiDAR data at about 10-cm point spacing.
- Geotiff Color orthophoto at 5-cm spatial resolution.
To request and download the dataset related to Data Fusion Contest, you should follow the rules provided via:
http://www.grss-ieee.org/community/technical-committees/data-fusion/data-fusion-contest/
Important Note: With respect to high computational and storage volume of the aforementioned data, and in order to provide the equal conditions for all participants, you should use the data subset instead of the full dataset. The region of interest was determined by the following coordinates in the UTM system WGS84 datum, in both text and shape files format:
|
UL Coordinates |
LR Coordinates |
Area_1 |
X: 31514650.000 |
X: 31514900.000 |
Y: 5686751.000 |
Y: 5686501.000 |
|
Area_2 |
X: 31513130.000 |
X: 31513380.000 |
Y: 5686870.000 |
Y: 5686620.000 |
The orthophoto images and related DSM of LiDAR data are illustrated as Figure 2.
Figure 2. The selected area for the 2015 SMPR Data Fusion Contest
THE METHODOLOGY: The contest consists of two parallel but independent competitions:
- “The 2D Contest: to promote multisource fusion for the generation of 2D processing results at extremely high spatial resolution. Possible manuscript topics include, but are not restricted to the detection of buildings, cars, or marine vessels, multisensor or multiresolution image classification, and spatial feature extraction using active sensing in urban areas.”
- “The 3D Contest: explores the synergistic use of the LiDAR point cloud and color data for 3D analysis at extremely high spatial resolution. Possible manuscript topics include, but are not restricted to classification of 3D laser point clouds, 3D mapping of building structures, and the detection of 3D small objects.”
2- Schedule and Deadlines
Please send your manuscript with results to the 2015 SMPR conference before the following date:
- submit your contest paper via "http://smpr.ut.ac.ir/match"
- Deadline for extended abstract submission 23 Jul. 2015
- Deadline for full paper and the results submission 07 Oct. 2015