Pix4dmapper full cpu usage on step 3
Project accuracy is identical when processing TIFF or JPG images. While both Tiff and JPEG images can be used, for the best quality reflectance map use Tiff images. The reflectance map generated in step 3 processing needs to be as accurate as possible for index calculations. Though they are much larger, valuable data can be lost to the JPEG compression algorithm. Additionally, use the TIF format instead of JPEG when processing multispectral images. Heavy winds during the flights mean the dataset is less than ideal for processing, but make for a great case study on the differences between Pix4D’s many processing options. Both the RGB and NIR Canon S110 cameras were flown within less than an hour of each other, and each was processed in the same Pix4D project. The case we will use is a corn research plot site requiring high resolution (2.3 cm/pixel). Initial processing options to improve project resultsīelow are a processing tutorial and comparison of the different processing options most relevant to agricultural mapping. Water will alter the reflectance spectra of the crop which greatly reduces the accuracy of vegetative indices. If flying a multispectral sensor like the NIR camera or Sequoia, try to wait until no moisture is present on the surface of leaves, whether it be from rain or morning dew.
#Pix4dmapper full cpu usage on step 3 software
Blurry images or swaying plants make it difficult, if not impossible, for the software to match key points between neighbouring images which mean you will need to re-fly the field. Lighting, wind and moisture conditions will greatly impact the image quality, so strive to fly in sunny weather with light wind is ideal but not always possible. For agricultural land surveys, overlap should be increased to 85% frontal and 70% side lap to provide a full view of the scene and adequate point-matching during processing. Producing great maps begins with acquiring great imagery, which Pix4D support covers in this support forum post.
For the first-time user, the learning curve is often steeper than expected, and the variety of processing options might lead to extensive trial-and-error before the outputs are deemed acceptable. Pix4DMapper makes it simple to process your UAV imagery into high-quality orthomosaics and vegetative index maps.