Advanced Remote Sensing Using ERDAS Imagine Software

2024-01-15

○ ERDAS Imagine 9.3 or higher.

● Textbooks:

○ Hyperspectral Remote Sensing, by Michael C. Dobson

○ Change Detection Techniques for Remote Sensing, by David Maidment

○ Object-Based Image Analysis: Spatial Concepts and Applications, by Stefan J. De Jong

● Course Outline:

○ Module 1: Hyperspectral image analysis

○ Module 2: Change detection

○ Module 3: Object-based image analysis

○ Module 4: Case studies

● Course Delivery Method:

○ Lectures: Interactive lectures delivered by experienced remote sensing professionals and experts through presentations, videos, and demonstrations.

○ Homework Assignments: There will be three homework assignments throughout the course. The homework assignments will be graded on correctness and completeness.

○ Project: The project will involve applying machine learning to a remote sensing problem. Students will work in groups of two or three to complete the project. The project will be graded on creativity, originality, and technical quality.

○ Q&A Sessions: Regular question and answer sessions to clarify doubts and address participants' queries related to the course content and practical exercises.

● Course Duration:

4 weeks (can be adjusted as per requirements)

● Note:

The course content and duration can be customized according to the specific requirements and level of expertise of the target audience.