Post-processing for ThermalCapture Recordings
ThermoViewer gives you all the features you need to browse through your recorded data quickly, enhance visual representation, fine-tune and correct recordings, and to export data into your format of choice for further processing.
Convert recorded data into stunning false color representations. ThermoViewer gives you the choice of fine-tuning single frames until perfection or setting options for a huge amount of data at once.The image shows four different color tables applied to the same recorded frame in post-processing.
Thermal cameras tend to react quickly to changing environmental conditions. That often results in colder measurements in the corners of a frame compared to the center. For single frame analysis this drawback can sometimes be neglected. If multiple frames shall be merged together into Orthomosaiks or 3D Models, those Non-Uniformities often lead to bad results. The resolution of thermal recordings is small in comparison to RGB images and a loss of data in the edges of frames adds up to this.
ThermoViewer includes a feature called Non-Uniformity Correction, which helps to minimise this effect. It corrects affected measurements and provides full resolution usable data for further processing.
The video shows a comparison between the original dataset on the left and the same dataset with applied Non-Uniformity Correction on the right.
With applied Non-Uniformity Correction it is easier to parse the information manually and the full frame can be used for further processing.
Another effect, caused by changing environmental conditions in uncooled thermal cameras, is thermal drift. Measurements taken with such cameras can vary in absolute temperature accuracy over time. The FLIR camera cores, that are used in ThermalCapture cameras, have a built-in shutter to minimise this effect during recording. The so called FFC (Flat Field Correction) events recalibrate the camera to its current state. A new calibration may lead to a jump in temperature measurements from the frame before the FFC to the one after.
To correct those sudden temperature changes ThermalCapture cameras tag every FFC event in the recorded data along with needed camera parameters for optimisation. ThermoViewer recognises those tags and corrects measurements between consecutive FFC events accordingly. This all happens without any user input.
Without Drift Compensation there is a temperature jump of 1.5°C from before the calibration to afterwards.
Automatic Frame Selection
Data recorded with ThermalCapture products is generally geo-referenced. ThermoViewer can make use of this information to automatically select the needed frames for orthomosaic or 3D model creation.
ThermoViewer determines the needed parameters for this calculation directly from recorded data. Users just have to enter the flying height over ground and the wanted overlap in percent. Everything else is done automatically.