Rochester Institute of Technology Uses ENVI and IDL in Classes

About Rochester Institute of Technology (RIT)

Rochester Institute of Technology is a nationally respected leader in professional and career-oriented education and is composed of 8 colleges offering more than 90 different bachelor’s, 68 master’s, and 6 doctoral degree programs. Many of the programs at RIT focus on imaging, from photography to imaging science, which is a big reason why Rochester, New York is known as the “world capital of imaging.”

“ENVI enables our students to perform modern image analysis tasks as they begin to understand the theory of these techniques in the classroom. The feature-rich programming language in IDL enables our students to extend the capabilities of ENVI and concentrate on the state-of-the-art algorithms rather than on recreating the classical textbook functionality and tools best left to professional programmers. Both ENVI and IDL allow us to quickly build on top of a strong foundation of visualization tools and create thought provoking solutions and new directions for systems and algorithms, which is so important in a rapidly evolving field such as imaging.” – Dr. Carl Salvaggio, Professor in the Chester F. Carlson Center for Imaging Science, RIT.

ENVI^®, IDL^®, and RIT

Each undergraduate and graduate student in the Chester F. Carlson Center for Imaging Science at RIT uses software to solve imaging related problems – from modeling system performance to processing captured image data. ENVI^® and IDL^® enable us to apply and enhance both classical and cutting-edge, innovative solutions to image analysis problems, regardless of whether the imagery is remotely sensed, medical, or astronomical. ENVI and IDL are a key component to our students, staff, and faculty’s success in the classroom, in academic research, and on sponsored research programs for the government and commercial communities.

Classes Using ENVI or IDL:

Color Science Digital Image Processing I, II & III Environmental Applications of Remote Sensing Freshman Imaging Project Linear Algebra & Fourier Mathematics for Imaging Mathematical Methods for Imaging Modulation Transfer Function Multivariate Statistics for Imaging Science Noise & Random Processes

Pattern Recognition Physical Optics Programming for Imaging Science Radiometry Remote Sensing: Sensors and Radiometric Image Analysis Remote Sensing: Spectral Image Analysis Spectral Methods and Instrumentation Vision & Psychophysics

Contact Details:

Dr. Carl Salvaggio
Associate Professor

Rochester Institute of Technology
College of Science
Chester F. Carlson Center for Imaging Science
54 Lomb Memorial Drive
Rochester, NY 14623