Education

Integrated use of airborne laser scanning and aerial photogrammetry
Tutor:
Petri Rönnholm (Aalto University, Finland)
Dates:
31 March - 11 April 2014

Instructor: Dr. Petri Rönnholm, Aalto University, Faculty of Engineering and Architecture, Department of Surveying, e-mail: petri.ronnholm@aalto.fi

Target audience: PhD and Master students involved in geomatics and photogrammetry, staff from national mapping agencies, public authorities and third parties who are working with airborne laser scanning data and aerial imagery.

Course objective: The course will give an insight of processes how airborne laser scanning data and aerial images can be used together including data acquisition, pre-processing, registration and various integration alternatives. One of the core contents of this course is registration methods how a common coordinate frame for data sets can be achieved. Examples will demonstrate the feasibility of integrated use of these data sets.

Course outline: The kick-off seminar will give an overview of workflows for integrating airborne laser scanning data and aerial images as well as activate course participants to realize possibilities of data integration. Also, the highlights of the EuroSDR benchmarking project “Registration quality – towards integration of laser scanning and photogrammetry” will be presented. The e-learning part of the course will include lecture materials, reference literature, assignments, self-evaluation questionnaires and tutoring.

Module 1. Basic principles and comparison of aerial imagery and airborne laser scanning data

In this module, the basic properties and operational principles of commonly used aerial cameras and airborne laser scanners are briefly illustrated. In addition, a discussion about differences and similarities of these two data sources is given. 4 h

Module 2. Pre-processing of data before registration or integrated use

The module briefly gives basic knowledge how aerial images and airborne laser scanning data should be pre-processed before they are ready for registration or integration. In the case of imagery, the main focus is on camera calibration and aerial triangulation. Pre-processing of laser scanning data includes, for example, filtering, segmentation, classification and strip adjustment. 4 h

Module 3. Registration of airborne laser scanning data and aerial imagery

The module illustrates how to find a common coordinate frame for all data sets. Various alternatives for registration do exist, such as using direct georeferencing sensors, simultaneous data acquisition, relative orientation, and separate georeferencing of data sets. The main focus in this module, however, is on relative orientation between airborne laser scanning data and aerial images using various strategies. In addition, expected registration accuracies and current level of automation are presented. 12 h

Module 4. Integrated use of multi-source data

The module discusses about integrated use of airborne laser scanning and aerial imagery after the successful preprocessing and registration. Examples of object-level integration, photogrammetry aided by laser scanning and laser scanning aided by photogrammetry are given in order to highlight the benefits of integrated use of these data sets. 14 h

High density image matching
Tutor:
Norbert Haala (Stuttgart University, Germany)
Dates:
10 - 21 March 2014

Instructor: Prof. Norbert Haala, Institute for Photogrammetry, University of Stuttgart; e-mail: norbert.haala@ifp.uni-stuttgart.de

Target audience: PhD and Master students involved in geomatics and photogrammetry, staff from national mapping agencies, public authorities and third parties in charge of 3D databases like DTM and urban model.

 Course objective: The course will give the theoretical and practical background on the recent developments in photogrammetric image processing, which considerably improved the automatic image-based collection of high quality digital surface models and 3D point clouds. Course participants will become familiar with state-of-the-art techniques for pixel-wise stereo image matching like the Semi-Global Matching (SGM) approach. They will also learn how dense surface reconstruction profits from the redundancy of highly overlapping image flights using multi-stereo processing. The course will demonstrate how techniques and concepts from computer vision can be used to increase the efficiency of photogrammetric image processing.

Course outline: The introductory course during the kick-off seminar provides the participants with the theoretical framework of high density image matching and will give an overview on the relevant photogrammetric processing chain. The individual work and exercises as well as hands-on demonstrations during the following online study phase use real-world data e.g. from the EuroSDR benchmark on image matching for DSM computation. Potential applications are demonstrated, while additional sample calculations will exemplify the relevant processing steps and enable the required feedback.

Module 1. Structure-from-motion and image pre-processing

The module briefly reviews the standard photogrammetric processing chain including automatic image orientation, rectification of stereo pairs and point determination from estimated parallaxes. Main emphasis is put on the efficient computation of such photogrammetric tasks based on projective geometry as it is commonly used in computer vision within open source libraries and available software tools – 8 hours

Module 2. Pixel-based stereo matching for dense surface reconstruction

The module discusses state-of-the art algorithms and optimization criteria for dense stereo image matching. Main emphasis will be on the use of Semi-Global-Matching for the processing of aerial imagery. In addition to the core parallax estimation process, a general outline of multi-stereo image matching to efficiently evaluate highly overlapping image flights is given. For the hands-on demonstrations the multi-view stereo software solution SURE, developed at the University of Stuttgart will be made available to the participants. This software enables the derivation of dense point clouds from a given set of images and its orientations – 16 hours

Module 3. Quality analysis

Exemplary results from pixel-based image matching are used to introduce tools and approaches for visualization and analysis of high density 3D point clouds. By evaluating the quality of such data the participants will also be able to assess its potential for follow-up applications and further processing – 8 hours

Mapping using high-resolution satellite imagery
Tutor:
Daniela Poli (Terra Messflug GmbH, Austria)
Dates:
22 April - 5 May 2014

Instructor: Dr Daniela Poli, Terra Messflug GmbH, e-mail: d.poli@terra-messflug.at

Target audience: PhD and Master students involved in remote sensing, photogrammetry and digital cartography, staff from national mapping agencies, public authorities and third parties in charge of mapping using satellite imagery.

Course objective: The course will provide the theoretical background on image acquisition from spaceborne optical sensors and give the instruments for image geometric processing and 2D/3D information mapping. Course participants will learn the characteristics of high resolution (HR) and very-high resolution (VHR) images, the processing pipeline for the production of 2D/3D georeferenced products from single and stereo images, and their use for mapping. Theory will be demonstrated with examples and exercises on real data from latest satellite missions.

Course outline: The pre-course during the kick-off seminar will give an overview on the characteristics of high and very high resolution satellite imagery and an introduction to the workflow for 2D/3D information extraction and mapping. Then the course will include lecture materials, reference literature, demonstrations, assignments and self-evaluation questionnaires. The content of the course will be divided into three modules.

Module 1. Introduction to image acquisition from spaceborne platforms
The module describes the principles of optical imagery acquisition from spaceborne platforms. The characteristics of spacecrafts, sensors and images will be analyzed with regard to the mapping applications. Sample material will help the participants to get familiar with the properties of HR and VHR satellite imagery. Self-evaluation tests will be offered at the end of the course – 8 hours.

Module 2. Geometric processing of satellite images
The module explains the workflow of rigorous geometric processing of single and stereo satellite images. The steps include: radiometric pre-processing, image georeferencing, image matching and digital surface modeling, orthorectification. State-of-the-art commercial and open source software packages will be discussed and compared. The theoretical part will be supported by practical exercise using real data from latest satellite missions – 16 hours.

Module 3. Information extraction and mapping
The module presents the instruments for 2D and 3D information extraction and quality assessment. Applications in web global mapping, cartography, land monitoring, disaster mapping and others will be demonstrated. Examples will be used to assess the potential of HR and VHR satellite imagery for mapping applications – 8 hours.

 

Change detection in High-Resolution land use/cover geodatabases (at object level)
Tutor:
Clément Mallet (IGN France)
Dates:
2 - 13 June 2014

Instructor: Dr. Clément Mallet, IGN France, e-mail: clement.mallet@ign.fr

Target audience: PhD and Master students involved in remote sensing, photogrammetry and digital cartography, staff from national mapping agencies, public authorities and third parties in charge of mapping using satellite imagery.

Course objective: The course will present state-of-the-art techniques for change detection (CD) in land-cover geospatial databases. The first part of the lecture will be dedicated to classification (feature extraction and labeling techniques) and the second part will focus on how to apply such techniques for CD issues. Both technical aspects and practical issues will be described during this course. The relevance of various remote sensing data will be discussed before providing solutions for 2D database change detection and update. In addition, the participants will learn how to benefit from various data sources and how to take advantage of the multiple spatial, spectral, and temporal resolutions of the input data.

Course outline:

Module 1. General assessments
The aim is to present the various remote sensing data sources as well as the various spatial and temporal scales of analysis for change detection. Questions like why to detect changes or which kinds of change can be detected are going to be answered. Land-Use/Land-Cover (LCLU) monitoring is presented as well as the various kinds of existing LCLU geodatabases.

  • Remote Sensing data sources
  • Spatial and Temporal scales of analysis
  • Main applications
  • Outlook on main change detection methods

Module 2. Image-to-Image 2D change detection

  • First, focus will be made on the simple radiometric comparison of images (the so-called pre-classification). Additional lecture and papers are also provided.
  • Secondly, a lecture on feature extraction from images is given since CD can be performed on other features that the raw channels of the images.
  • Thirdly, classification methods can be carried out on the various images and can be compared (post-classification).
  • Exercices will introduce you to both unsupervised and supervised methods on a single image, and two images and then to the post-processing techniques that should be carried out.

Module 3. Operational land-cover change detection

Techniques introduced in modules 1 and 2 will be presented in the operational frameworks of Spanish and German initiatives. In addition, practical solutions for improving CD results will be tested during exercices.

  • Which features are the best ones for a given problem ?
  • How to design efficient training sets for supervised classification ?

Module 4. 3D change detection
The relevance and the specificity of 3D change detection (i.e. Digital Surface Model vs. Digital Surface Model) will be introduced. Two main CD techniques will be detailed and followed by exercises enhancing which processing techniques should be adopted.

Module 5. Time-series Image Analysis

  • Benefit of image sequences for LC/LU mapping and change detection.
  • Outlook on existing methods for multitemporal change detection.

Exercices on how to benefit from multiple images to improve CD results.

 

Pre-course seminar Trento
Dates:
3 - 4 March 2014

Pre-course Seminar
FBK, Trento, Italy
3rd to 4th of March 2014

EduServ12 courses will be preceded by a two-day seminar from 3rd to 4th March 2014 at FBK, Trento, Italy.

PROVISIONAL SEMINAR PROGRAMME
Subject to change

Monday 3rd March 2014

09:00 - 09:30

Welcome address

 

09:30 - 12:00*

Introduction to the course 'High density image matching' (N. Haala, Stuttgart University, Germany)

 

12:00 - 13:30

Lunch

13:30 - 16:00*

Introduction to the course 'Integrated use of airborne laser scanning and aerial photogrammetry' (P. Rönholm, Aalto University, Finland)

 

16:00 - 16:30

Coffee break

 

16:30 - 17:30

Presentation of the Moodle Learning Management System

 

19:00 -

Social event (Cost included in registration)

 

 

Tuesday 4th March 2014

09:30 - 12:00*

Introduction to the course "Change detection in High-Resolution land use/cover databases (C. Mallet, IGN France)

 

12:00 - 13:30

Lunch

 

13:30 - 16:00*

Introduction to the course "Mapping using high-resolution satellite imagery" (D. Poli, AVT Vermessung, Austria)

 

16:00 - 16:30

Closing remarks and Evaluation of the seminars

 

* Each block will contain a 1.5 hour introduction to the topic, 0.5 hour discussion and 0.5 hour coffee break.

The fee for attending the pre-course seminar is 100 €. This fee will be deducted from the course fee in case of later subscription to the e-learning courses.

The venue for the seminar is:
Bruno Kessler Foundation (FBK), via Sommarive 18, 38123 Povo -Trento, Italy.

How to get to Trento:

The city is easily reachable by train (http://www.trenitalia.com) or by car on the Brenner A13 highway. The closest international airport is located in Verona, ca.1 hour by train from Trento. Milan "Linate" (LIN) and "Malpensa" (MPX) airports are connected to Milan Centrale railway station with a bus. From Milano Centrale railway station it takes ca. 2.5 hours to get to Trento (via Verona). Venice airport is linked to Venezia-Mestre railway station with a bus and then the train to Trento via Verona takes ca. 2 hours. Milano-Bergamo is also a possible airport, then train to Verona-Trento (3 hours).

How to get to FBK in Povo by bus:

  • Route/Line 5. This is the fastest route up the hill from the city center. The trip takes about 10 minutes from the train station stop in Piazza Dante. You can also catch the bus in Piazza Venezia. Get off at the "Povo-Facolta di Scienze" stop just after the blue sign for "Povo". Bus schedules are displayed at every stop. The stop names are shown on bus stop placards. Tickets can be purchased at news-stands. Get them before boarding.
  • Route/Line 13. From the city center takes much longer on this bus, but it might by useful if you are in the southern area of the city. Get off at the "Povo-Piazza Manci" stop and walk down the hill to get to the Foundation. Bus schedules are displayed at every stop. The stop names are shown on bus stop placards. Tickets can be purchased at news-stands. Get them before boarding.

Schedules and fares are available at the Trentino Trasporti website: http://www.ttesercizio.it/

Accomodation: