An important challenge in outdoor mobile robotic perception is maintaining terrain classification performance throughout the extremely variable conditions that we may wish a robot to operate under. Outdoor robots operate in a series of “environments” that consist of diverse terrain, vegetation, weather, and lighting conditions. A physical robot does not randomly jump between environments; typically it will operate for long stretches of time in one particular environment, making it advantageous to adapt the robot’s performance to its current environment.