Every Spring Semester
This course exposes students to a variety of pixel-oriented analysis of intermediate resolution remote-sensing image. We will discuss the following topics: Image statistics, Multispectral transformations, Fourier transformations, filters, image enhancements, classification, change detection, time series analysis and phenology analysis. In addition, the students will be exposed to the development and programming of data-driven algorithms in the ENVI/IDL combination. The students will learn how to extend the ENVI interface in IDL in order to implement new methods and algorithm. Graduate students are expected to reveal leadership roles in the discussion and decision making process. They will also be held to higher standards with respect to report writing and analysis. Thinking outside the box is encouraged and rewarded.