Notice the distortion in the bottom right corner of the field. Here is an example of what motion blur looks like: The best way to solve this is to improve shutter speed, but flying slower or higher will help as well. This is caused by fast-moving drones or vibration - this either means the shutter speed isn't fast enough, or that you are flying too fast. Learn how to recognize and prevent these issues here: Motion Blur There are a few common issues that cause low quality maps. Note the presence of all 3 features in both photos. You can toggle the camera settings on to adjust your exposure and focus manually in the DJI Go App.īelow are example of two consecutive photos captured during a flight over a canyon where you can see common features. However, ultimately image quality is governed by so many other parameters (some of them listed above), that it is useful for users to check the quality of the individual photos captured as the drone is performing the mission flight. The drone's flight speed can vary depending on your flight parameters, such as the altitude and overlap settings.Ĭheck your camera settings and quality of individual photosĭroneDeploy does attempt to make your camera capture imagery at its absolute best quality. Please note, the maximum speed does not denote the drone's actual speed. You can set the maximum speed at which the drone can fly. If you'd like to start your flight from a certain waypoint or are continuing a mission, select the waypoint you would like the drone to start its mapping from. Your camera will have a hard limit on how fast it can operate, so after you hit that point you will not see any further improvements. This will increase the number of photos taken during each leg by simply making your camera take photos more quickly. Increasing front overlap (frontlap) during planning Increasing side overlap (sidelap) during planningįlying with more overlap between each leg of the flight is the easiest way to get more matched features in the imagery, but it does come at the expense of reducing the area that your drone can cover in one flight. This technique is most effective for 3D models and should not be used during sunrise and sunset as this can discolor your images.īy clicking on "Advanced" in your flight's settings, you can gain even greater control of the plan. This can greatly reduce shadows, blurriness, and glare from reflective surfaces all of which will improve the quality of your map. Light diffusers are common in professional photography because they provide soft, even lighting on your subject. Be sure to review where your flight is starting so that the path you are making is clear.įlying when the sky is overcast allows you use the clouds as a giant light diffuser. As you modify your flight's rotation, go back to your flight plan to review the changes to ensure it works best for your flight. It can also assist in flying in and out of the wind. Changing the flight path can assist when you are mapping a narrow shape so that the drone conserves battery life. Using the Flight Direction feature allows you to change the direction that your drone flies. Flying higher is the single most powerful way to improve data quality. It also enables higher frontlap to be achieved for a given camera. This grants the drone more chances to cover common unique features in multiple images, which can help mapping in areas with homogeneous imagery (such as tree canopies or agricultural areas). Note that you can also change settings from the desktop under the "Advanced" tab.įlying higher gives the camera lens (with a given field of view) more land area to cover in a single image. To modify how your drone will fly to best account for your current conditions, open your flight settings. You can adjust the flight settings by clicking on the left hand sidebar of the app to open your flight's settings: If your map was of poor quality, here are a few simple things you can do to improve it. We have listed some of the factors that govern the coverage of these maps. Now include the fact that vertical structures will look different from each side! Consider making a puzzle, where all the pieces had straight edges, all the pieces overlapped by an unknown amount, and there was a different perspective in each image that meant the pieces had to be warped by an unknown amount to make them match. These features are identified and matched by a mathematical process, and aligned on top of each other. In short, each photo taken from the drone contains ‘features’ such as crop rows, trees, buildings, trails left by equipment, or anything that is distinctly recognizable in the visual space.Īs the aircraft takes continuous photos during the mission, it captures multiple photos of each distinct feature, from multiple angles. It is useful to understand the map stitching process to help optimize your chance of generating successful maps. UndefinedProcessing is only reserved for paid users.
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