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Objectives
Remote sensing is defined as the science of acquiring information about material objects without being in touch with them. These measurements are possible because sensors or instruments are designed to measure the reflected light from earth objects. It is discovered that each kind of earth materials has its own spectral characteristics, which enable us to discern the objects from its intermixed background. This subject introduces students the basic concepts and skills of remote sensing technology. The principle of remote sensing is introduced first, followed by the review of available remote sensing systems including airborne and space-borne platform and sensors. Techniques of image interpretation and computer processing of digital satellite images are also practised. Assessment
Coursework will consist of laboratory work and tutorials that provide an opportunity for students to become familiar to techniques of image interpretation and processing. The image processing exercises will be undertaken using the PCI image processing software ¨C one of the most advanced and widely used in Hong Kong. The laboratory work will focus on four categories of techniques ¨C image display, restoration, enhancement and information extraction. Tutorials will also be used for exercises on photo interpretation, measurement and accuracy assessment. Teaching methods/Approach to Learning Lectures, labs and tutorials are the major means of teaching, supplemented by a field excursion. |
Teaching Plan |
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| 1. Introduction Lecture: Remote sensing and geography Lab: No lab |
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| 2. Electromagnetic radiation Lecture: Electromagnetic radiation Tutorial 1: Electromagnetic radiation |
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| 3. Human vision and colour Lecture: Human vision and colour Tutorial 2: Colours and aerial photograph |
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| 4. Airborne systems Lecture: Airborne platforms and sensors Lab 2: Photo interpretation |
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| 5. Spaceborne systems Lecture: Spaceborne platforms and sensors Lab 3: Introduction to image processing (1) |
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| 6. Spectral signatures Lecture: Spectral signatures and their interpretation Lab 3: Introduction to image processing (2) |
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| 7. Image interpretation Lecture: Image interpretation Lab 4: Geometric correction and image matching |
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| 8. Image restoration and enhancement Lecture: Image restoration and enhancement Lab 5: Image statistics, enhancement and filters |
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| 9. Image information extraction Lecture: Image information extraction Lab 6: Image arithmetic, indices and classification |
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| 10. Accuracy assessment Lecture: Accuracy assessment and GPS Fieldwork: Ground truthing and GPS |
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| 11. Thermal and microwave remote sensing Lecture: Thermal and microwave remote sensing Tutorial 3: Interpretation of thermal and radar images |
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| 12. Remote sensing applications Lecture: Remote sensing applications Tutorial: TBA |
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