รายละเอียดรายวิชา

This course provides essential principles of hyperspectral remote sensing system and its applications. Also, public and commercial image processing softwares are introduced and applied on hyperspectral image classification along with individual assignment/presentation. Specific topics include (1) principles of hyperspectral remote sensing, (2) data collection and spectral library construction, (3) hyperspectral image preprocessing, (4) hyperspectral image classification algorithms, (5) hyperspectral image classification and accuracy assessment.

Expected learning outcomes

          Upon completion of this course, the students should be able to:  

          1. Explain principles of hyperspectral remote sensing and its applications.

          2. Apply image processing softwares for spectral library construction, hyperspectral image preprocessing, image classification and accuracy assessment.

           3. Integrate yielded knowledge on hyperspectral remote sensing in practice.