GEOG3711 Advanced Digital Image Analysis

2018

4.5

1 x 2-hour lecture weekly
1 x 2-hour computer lab weekly

1 of : GEOG3015, GEOG2702

1 of GEOG3018, GEOG8003, GEOG8711 has been successfully completed

This topic builds on the principles taught in GEOG2702 Image Analysis in Remote Sensing or GEOG3015 Image Analysis in Remote Sensing, allowing students to further specialise and develop advanced skills in remote sensing. The topic will primarily consider the basic principles and prospective applications of Imaging Spectrometry (Hyperspectral remote sensing) and RADAR imaging for earth observation. The topic will focus on the reflective properties of materials; airborne and satellite-based hyperspectral sensors; spectral mixing problematics; geometric andradiometric calibration; analytical processing techniques; endmember selection; and spectral unmixing while using professional digital image analysis software specifically designed to manage and analyse high spectral dimensional data.

This topic aims to provide students with both knowledge and practical skills in imaging spectrometry (hyperspectral remote sensing) for earth resource mapping and monitoring. It builds on the principles taught in GEOG 3015 Digital Image Analysis allowing students to further specialise and develop advanced skills in remote sensing. The topic will primarily consider the basic principles and prospective applications of hyperspectral remote sensing, while the use of RADAR remote sensing will also be considered. The topic will focus on the reflective properties of materials; airborne and satellite-based high resolution instruments; mixing problematics; geometric and radiometric calibration; analytical processing techniques; endmember selection; and spectral unmixing while using professional digital image analysis software.

At the completion of the topic, students are expected to be able to:

1. Discuss image interpretation and analytical principles that are fundamental to high spectral dimensional data, including the integration of digital image information with Geographical Information Systems (GIS)
2. Optimise digital image content and visualisation through a range of geometric, radiometric and image transformation techniques
3. Extract useful information from hyperspectral and RADAR image data through a range of analytical processing techniques
4. Demonstrate the use of professional image processing software specifically designed for inquiry and analysis of remotely sensed imagery
5. Produce written work in accordance with good scholarly practice