Photogrammetry has changed substantially in the past three decades. When Jeff Yates began in the business 32 years ago, he used a projection system known as a Kelsh two-bucket plotter. “That was four generations ago of photogrammetric systems hardware,” he recalls. “From there, we went to the analog stereo plotter. That was the second big change in photogrammetric equipment during my compilation tenure. Later on, we switched over to the analytical instruments. Now, every-thing has gone digital, and all of those highly precise pieces of machinery and optics are functionally obsolete.”
These rapid changes in equipment have been disruptive, forcing practitioners to spend time learning new systems. “Those operators who did not change very readily from the mechanical instruments—both the analog and the analytical—to the digital ones, are no longer in the photogrammetric field,” says Yates. Because of this rapid technological change, the key challenge in photogrammetry today, he explains, consists of “recognizing what the latest trends are, learning to understand them, turning them into a commercial product, and earning a return on our investment before that becomes obsolete.”
Despite all the advances in hardware and software, however, some key aspects of photogrammetry have not yet been fully automated with engineering-grade reliability. For example, software cannot yet reliably differentiate between building edges, utilities, and fence lines or between a small car and a rock boulder. Therefore, human operators are still required to interpret what they see in the 3D stereo model. “The ultimate goal is to make as much of the whole workflow as automated as possible,” says Yates.