Enrolment options

GIS-E1140 - Photogrammetry, Laser Scanning and 3D Data Processing D, Lecture, 22.10.2024-4.12.2024

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

To understand techniques and instruments of photogrammetric and laser scanning measurements. To understand theories of photogrammetric and laser scanning measurements. To apply least-squares adjustment to photogrammetric problems. To recognize alternatives and possibilities of photogrammetric and laser scanning applications. To understand registration and integration of data. To be able to solve case-dependent surveying and 3D modeling problems as well as to evaluate the quality of 3D data. To understand the creation of surface models and the texturing of 3D models. To understand the methods of 3D data classification.

Credits: 6

Schedule: 22.10.2024 - 04.12.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Petri Rönnholm

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: Finnish, Swedish, English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    The course gives theoretical background on photogrammetric and laser scanning measurements as well as on the methods for 3D data processing. Measuring processes include calibration, mathematical sensor models, data pre-processing, data analysis, data integration, and visualization. In addition, the course highlights implementations of modern data acquisition instruments. 3D data processing includes the creation of surface models, the texturing of 3D models, and 3D data classification.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Exam and assignments

Workload

  • valid for whole curriculum period:

    Lectures, assignments, self-study, preparation to examination + examination

DETAILS

Study Material

  • valid for whole curriculum period:

    Lecture notes and additional literature

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    9 Industry, Innovation and Infrastructure

    11 Sustainable Cities and Communities

    13 Climate Action

    15 Life on Land

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn II
    2025-2026 Autumn II

    Registration:

    Registration for the courses via Sisu (sisu.aalto.fi).

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof

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