One of the urgent problems civil and military aviation is providing information support to the crew. Control of the surface below and warnings of dangerous situations and objects are required. This problem is most acute in reduced visibility conditions due to low light conditions, heavy precipitation, fog, smoke or dust. Therefore, the developers of avionics seek to create systems that enable all-weather monitoring of the surrounding space. To solve this problem, modern aircraft on-Board survey systems are equipped with image sensors, both passive and active, working in different spectral ranges. In addition, the use of modern high-precision navigation systems and digital computing technology makes it possible to integrate information about the surface below from multispectral sensors with a priori geospatial data concentrated in digital maps.
A method for estimating the intensity of precipitation using image processing from a camera of the visible range has been defined. The main advantage of using this method is the ability to determine the intensity using only one image. This feature allows this method on aircraft. The number of operations of convolution and multiplication was reduced. Therefore, the method has less computational complexity.
This article provides a method for the automatic detection of precipitation and estimation of their intensity in the images generated by the camera in the visible range. With the ability to determine the rainfall intensity in one image and by reducing the number of operations of convolution and multiplication, characteristic of known similar methods, the proposed has a lower computational complexity and can be used on mobile platforms in real-time mode. The result is achieved by using such methods of digital image processing as the construction of a histogram of oriented gradients (HoG), digital filtering, discrete convolution and wavelet analysis. The main direction of the proposed method is implementation in enhanced and synthetic vision systems as a part of onboard radio-electronic complexes of aviation for the purpose to increase of situational awareness of crew at various stages of flight of the aircraft.
The method of adaptive nonlinear matching of dynamic ranges of radar signal and imaging device is proposed. The method is intended for use in the onboard remote sensing complexes during formation of radar images of the earth's surface. The method is aimed at increasing the visibility of small objects on the background of the underlying surface in order to simplify the procedures for their detection and identification. The computational complexity of the proposed algorithm makes it possible to use it in real time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.