The invention discloses an
image enhancement processing method for
remote sensing and mapping of unmanned aerial vehicles, and relates to the technical field of
image enhancement processing. During the operation of the
system, the flight attitude and position information are recorded by GNSS and IMU equipment, the flight path of the unmanned aerial vehicle is controlled, and the collected original image is preliminarily processed to calculate and obtain:
flight stability coefficient Fs,
image acquisition quality coefficient Iq and
terrain feature retention coefficient Tf, and the non-local mean NLM
algorithm is used to remove
random noise in the
remote sensing image, optimize the edge area, and use the Laplace
pyramid algorithm to improve the edge
clarity and texture details of the
terrain image, strengthen the mountain and hilly
landform features, correct the color
distortion caused by the complex lighting conditions in the mountains, make the image color truly restore the
terrain features, avoid the loss of important
landform information due to excessive brightness or
darkness, optimize the terrain
feature extraction, and generate the final index Z final ,
Quality assessment of enhanced and rectified images.