Credits: 3

Semesters Offered

Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022

Learning Objectives

Analysis and design of active and passive remote sensing techniques including light detection and ranging (lidar), radar, and digital image processing. Completion of a project employing the course material, CAD, rapid prototyping, and data collection & processing. 

Topics Covered

  • Lidar remote sensing: active and passive, digitizing and photon counting, data acquisition and processing
  • Radar remote sensing: active and passive, synthetic aperture radar (SAR), radar cross section, data acquisition and processing
  • Computer vision: image blurring, masking, edge detection, Hough transforms
  • Programming in Linux, Python, and OpenCV


Additional Course Information


Mitchell, Steven E.


None required.

Class/Laboratory Schedule 

  • Two 75 minute lectures per week
Last Updated By 
Steve Mitchell, June 2017