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Syllabus 2019-20 - 13212006 - Photogrammetry and Remote Sensing 3 (Fotogrametría y teledetección III)

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  • Level 1: Tutorial support sessions, materials and exams in this language
  • Level 2: Tutorial support sessions, materials, exams and seminars in this language
  • Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: Grado en Ingeniería geomática y topográfica
FACULTY: SCHOOL OF ENGINEERING OF JAÉN

ACADEMIC YEAR: 2019-20
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Photogrammetry and Remote Sensing 3
CODE: 13212006 ACADEMIC YEAR: 2019-20
LANGUAGE: English LEVEL: 1
ECTS CREDITS: 6.0 YEAR: 3 SEMESTER: SC
 
2. LECTURER BASIC INFORMATION
NAME: DELGADO GARCÍA, JORGE
DEPARTMENT: U119 - INGENIERÍA CARTOGR. GEODESICA Y FOTOGRAM
FIELD OF STUDY: 505 - INGENIERÍA CARTOGRÁFICA, GEODÉSICA Y FOTOGRAMETRÍA
OFFICE NO.: A3 - 320 E-MAIL: jdelgado@ujaen.es P: 953-212468
WEBSITE: http://coello.ujaen.es/perfil.php?option=9
LANGUAGE: - LEVEL: 1
 
3. CONTENT DESCRIPTION

THEORICAL

1. Digital Photogrammetry

1.1 Definition

1.2 Historical evolution of Digital Photogrammetry

1.3 Opportunities and potential

2. Instrumentation in Digital Photogrammetry.

2.1 Large and medium format photogrammetric digital cameras. Oblique cameras and multisensor systems.

2.2 High resolution sensors installed on satellites.

2.3 Photogrammetric Scanners.

2.4 Preprocessing and storage of digital images in Photogrammetry and Remote Sensing.

2.5 Digital Photogrammetric Systems

3. Workflow in Digital Photogrammetry. Projects.

3.1 Classification of digital photogrammetric processes

3.2 Flow diagram in digital photogrammetry

4. Advanced methods of photogrammetric orientation and remote sensing.

4.1 Block adjustment. Autocalibration

4.2 Orientation supported by GPS / INS.

4.3 Direct vs indirect orientation.

4.4 Orientation models of other aerial sensors and space transported.

5. Automation of the measurement processes.

5.1 Concept of correlation (matching). Basics

5.2 Methods for the reduction of the search space

5.3 Classification of correlation methods

5.4 Area Based Matching

5.5 Feature Based Matching

5.6 Problems associated with the matching process

5.7 New trends in matching procedures. SfM. Applications of the new methods of matching the orientation of images.

6. Automatic generation of digital elevation models

6.1 Digital terrain models and digital elevation models. Structures

6.2 Digital models by automatic correlation.

6.3 The LiDAR system.

6.4 Quality control in digital elevation models.

7. Digital image

7.1 Basic concepts. Rectification and Orthorectification

7.2 Rectification Methods

7.3 Imagery Ortorectification using differential rectification

7.4 Generation of orthoimages in urban areas. True orthoimages.

7.5 Orthophotography project. QA.

PRACTICAL

Practice 1. Digital photogrammetric systems.

Practice 2. Treatment of digital images. The OpenCV system.

Practice 3. Advanced methods of orientation of images in Photogrammetry and Remote Sensing.

Practice 4. Photogrammetric project to obtain cartographic products.

P4-1. Preparation and import of information

P4-2. Photogrammetric orientation.

P4-3. Digital Elevation Models.

P4-4. Orthorectification and mosaics.

Practice 5. Local operators in images. Feature Based Matching.

Practice 6. LiDAR information processing.

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

DETAILED INFORMATION:

The teaching methodology is based, on the one hand, on classes in a large group where expositions of the theoretical concepts of the subject and the resolution of problems and cases are made. These classes follow a master class scheme in which the participation of the students is encouraged.

Also, practical classes are held in small groups taught in the Digital Photogrammetry Laboratory for the management of specific equipment (photogrammetric scanners, digital photogrammetric stations as well as other specific software).

This scheme of face-to-face activities is complemented with reinforcement activities in the resolution of problems to be developed within the student's autonomous work hours, with subsequent revision by the faculty, and where appropriate, assistance in individual tutoring.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

DETAILED INFORMATION:

The purpose of the evaluation system is to verify that the students have acquired the competences foreseen for the subject, achieving the expected learning results. In this evaluation it is verified that:

  • They have acquired the necessary knowledge on the instrumentation and photogrammetric and topographic methods for the application of methods and instruments of Digital Photogrammetry and other technologies for the direct orientation of sensors, both aerial and satellite-installed, and the generation of digital elevation models and orthoimages.
  • They have acquired the knowledge and skills necessary to apply least squares methods in the field of geomatics observations.

The evaluation system is composed of two components:

  • Theoretical knowledge and problem solving
  • Execution of practical works.

The related assessment of theoretical knowledge and problem solving will be done through a written test that is divided into two parts:

  • Theoretical knowledge that will be evaluated by different questions about the subject taught (the questions may have different configuration depending on the elements to be evaluated, from short questions to topics to be developed).
  • Resolution of problems that will be developed through the use of a computer system (spreadsheet).

It is considered that this part is exceeded when at least 50% of the maximum score established for each of them is obtained.

The evaluation related to the practical knowledge ( execution of practical works) will be based on the presentation and defense of the works carried out by the students in the practical classes, as an alternative method the students will be able to choose a global test of competences.

The final grade will be the result of the realization of a weighted average between the qualification of the two parties (theoretical knowledge and problem solving, execution of practical works) being their weights of 0.70 and 0.30, respectively. For this average to be done, it will be necessary for the student to have reached at least 50% of the maximum score in the evaluation of theoretical knowledge and problem solving, and in that corresponding to the execution of practical work).

In accordance with the description of competences and results to be achieved and the evaluation methodologies applied, the following correspondence is established:

  • Theoretical knowledge and problem solving: R1, R2, R3 / CE25, CE26, CT6
  • Execution of practical works: R1, R2, R3 / CB2, CB4, CT1, CT2, CT4, CT6, CE24, CE25, CE26

6. BOOKLIST
MAIN BOOKLIST:
  • Innovations in Remote Sensing and Photogrammetry [Recurso electrónico]. Edition: -. Author: Jones, Simon .. Publisher: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2009.  (Library)
  • Digital Photogrammetry [Recurso electrónico] : A Practical Course. Edition: -. Author: Linder, Wilfried. Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.  (Library)
  • Introduction to modern photogrammetry . Edition: -. Author: Mikhail, Edward M.. Publisher: New York: John Wiley, cop. 2001  (Library)
  • Digital photogrammetry. Edition: -. Author: Kasser, Michel. Publisher: London [etc.]: Taylor & Francis, 2002  (Library)
  • Elements of photogrammetry with applications in GIS. Edition: 3rd ed. Author: Wolf, Paul R.. Publisher: Boston [etc.]: McGraw Hill, cop. 2000  (Library)
  • Photogrammetry: geometry from images and laser scans. Edition: 2nd ed.. Author: Kraus, Karl, 1939-. Publisher: Berlin ; New York : Walter De Gruyter, 2007  (Library)
  • Digital photogrammetry. Edition: -. Author: Schenk, Toni. Publisher: Laurelville: TerraScience, cop. 1999  (Library)
  • Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration [Recurso elec. Edition: -. Author: Noureldin, Aboelmagd. Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013  (Library)
  • Manual of photogrammetry. Edition: 6th ed.. Author: -. Publisher: Bethesda : American Society for Photogrammetry and Remote Sensing, cop. 2013  (Library)
ADDITIONAL BOOKLIST:
  • Computer and Robot Vision. Edition: -. Author: Haralick, Robert M.. Publisher: Reading (Massachusetts) [etc.]: Addison-Wesley, cop. 1993  (Library)
  • OpenCV computer vision with Python [Recurso electrónico] : learn to capture videos, manipulate image. Edition: -. Author: Howse, Joseph. Publisher: Birmingham, England : Packt Publishing, c2013  (Library)
  • Mastering OpenCV with practical computer vision projects : step-by-step tutorials to solve comon rea. Edition: -. Author: -. Publisher: Birmingham : Packt Publishing, 2012  (Library)
  • Mathematical Foundations of Image Processing and Analysis, Volume 1 [Recurso electrónico]. Edition: 1st edition. Author: Pinoli, Jean-Charles, author. Publisher: -  (Library)
  • Mathematical foundations of image processing and analysis 2 [Recurso electrónico]. Edition: -. Author: Pinoli, Jean-Charles, author. Publisher: -  (Library)
  • Digital Image processing using MATLAB. Edition: 2nd ed., 16th reprint. Author: González, Rafael C.. Publisher: New Delhi : McGraw Hill Education, 2016  (Library)