I create models from aerial photos taken from a fixed wing or helicopter. Most of my projects are buildings or small rectangular areas and I normally fly in a circle and shoot overlapping oblique images focusing on a point in the centre of the area. I have some projects along roads (see image) that are long and narrow and wanted to get a better idea of the optimal route to fly and collect the images. I am also looking at the best way (flight diagram) to collect images to cover a large area, 15-20 city blocks. I use a hand held camera and can’t take nadir images only oblique Any suggestions appreciated
Aerial photos are normally captured using automation and can be nadir, oblique or a mixture of both depending on the results you need. Using the settings in the automation (altitude, overlap and speed) will calculate the most efficient pattern for the photo positions.
Here is a paper that covers the principles of photo acquisition for ContextCapture which includes using hand-held cameras. I guess you could apply those principles to capturing obliques using a hand-held camera from the air, but to ensure that you capture enough photos during your flight will compromise efficiency both in capture and processing.
Hello Stephen/Oto
Thanks for the responses
Stephen: . I've seen this paper and it really doesn't offer much excepts for the basics pf photo capture. Over the years (30+) I have collected "traditional" nadir photos for photogrammetry projects using light twin aircraft with metric cameras both film and digital (Wild RC10, Vexcel Ultracam etc.). These projects covered large areas (100+km x 100+km) and we had fairly sophisticated flight planning software to assist us.
As I mentioned most of the current apps are focused on drones and I may try to use the as Oto suggests. I was hoping Bentley could share some of the flight plans used for collecting photos for the large city projects such as Orlando, Paris, Marseille and other structures that they have in the Context Capture sample gallery.
Oto: I'll check on the Bentley app Thanks again
Farouk Rohoman