A Neural Network-Based Method for Infrared Focal Plane Array Nonuniformity Correction Adapting to Dynamic Adjustment of Integration Time

Abstract

The invention discloses an infrared focal plane array non-uniformity correction method adapted to the dynamic adjustment of integration time based on a neural network, which belongs to the field of non-uniformity correction of an infrared system. The method includes: calibrating at multiple working points of the system, calculating Average gray-scale response; use mathematical regression to calculate the interpolation curve of average gray-scale response and pixel gray-scale response under different integration times; build and train a forward neural network for non-uniformity correction; use the trained neural network to perform Non-uniformity correction, the integration time can be adjusted dynamically during the correction process. The present invention overcomes the disadvantages of the previous infrared system, such as few steps of integration time, large adjustment span, and troublesome switching, makes the adjustment of integration time more delicate and flexible, expands the adaptability of the infrared system to scenes with a large dynamic temperature range, and is beneficial to infrared systems. The system performs intelligent imaging on the target.

Description

technical field [0001] The invention belongs to the field of non-uniformity correction of an infrared system, in particular to a method for correcting the non-uniformity of an infrared focal plane array adapted to the dynamic adjustment of integration time based on a neural network. Background technique [0002] Infrared focal plane array belongs to the second-generation infrared imaging device and is the core component of the infrared system. It has the advantages of high integration, low noise equivalent temperature difference, and strong detection ability. It is widely used in military, industrial, agricultural, medical, forest fire prevention, etc. each field. [0003] Ideally, the output signal amplitude of the infrared focal plane array should be the same under the same radiation input conditions. But in fact, due to the inhomogeneity of the device material (internal structure, crystal defects, impurity concentration, etc.), the inhomogeneity of the dark current of th...

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Problems solved by technology

[0006] However, in conventional non-uniformity correction techniques, a fixed integration time is generally required

When the target is too dark and the integration time needs to be extended, or the target is too bright and the integration time needs to be shortened, it is necessary to switch the correction parameters corresponding to the integration time. Limited by factors such as storage capacity and calibration workload, the system often only stores a limited number of parameters. Group integration time, which results in the available integration time of the infrared system is often divided into files, it is impossible to dynamically select the best integration time, and it is difficult to give full play to the performance of the infrared system

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