Low altitude unmanned aerial vehicle remote sensing image processing based on visible band

Objective The feasibility of agricultural information extraction and analysis based on low cost agricultural visible band platforms with low altitude remote sensing was investigated to provide a technical support for precision spraying and monitoring with unmanned aerial vehicles (UAVs).

Method A series of tests were conducted to study the visible light remote sensing images that contained only red, blue and green bands. First, Zhang correction method was used to get the distortion matrix of camera and to correct images. Then, the visible vegetation indices were extracted from corrected images. Finally, by analyzing the spectral characteristics of low altitude farmland visible images of vegetation and non-vegetation, the vegetation information was extracted from visible band based on low altitude remote sensing images.

Result Vegetation was separated from non-vegetation area with farmland vegetation index extraction.

Conclusion  Agricultural information acquisition system based on visible light low altitude remote sensing is applicable and can provide a reference for the development of low cost visible band monitoring system with low altitude remote sensing.