Remote sensing image intelligent interpretation method and system based on adaptive perceptron

A technology of remote sensing images and perceptrons, applied in the field of deep learning in the field of remote sensing image target interpretation, can solve problems such as reality inconsistency, single task, unconsidered target features, background differences, etc., to achieve wide application range, easy implementation, The effect of increasing the overall interpretation speed

Pending Publication Date: 2022-04-29
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

[0005] In view of this, the present invention provides a remote sensing image intelligent interpretation method and system based on an adaptive perceptron, which solves the problem that the traditional UNet

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  • Remote sensing image intelligent interpretation method and system based on adaptive perceptron
  • Remote sensing image intelligent interpretation method and system based on adaptive perceptron
  • Remote sensing image intelligent interpretation method and system based on adaptive perceptron

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047] refer to figure 1 As shown, the schematic diagram of the remote sensing image intelligent interpretation method based on the adaptive perceptron is disclosed, including three aspects: influence preprocessing, adaptive perceptron and remote sensing intelligent interpretation.

[0048] refer to figure 2 Shown is the interpretation network structure diagram of the intelligent interpretation method of remote sensing images based on adaptive perceptron, in...

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Abstract

The invention discloses a remote sensing image intelligent interpretation method and system based on an adaptive perceptron, and relates to the technical field of remote sensing image target interpretation in deep learning, and the method comprises the steps: carrying out the preprocessing of a remote sensing image during the intelligent interpretation of the remote sensing image; constructing a self-adaptive perceptron based on a local threshold value; determining a threshold range and a perceptron weight; determining an interpretation network structure according to the adaptive perceptron and the improved UNet model; according to the network structure and the improved UNet remote sensing intelligent interpretation model, target ground feature features are solved in a self-training iteration mode. The problems that an existing UNet model is single in structure, complex in parameter and long in interpretation time are solved, and the application range, the interpretation speed and the flexibility degree of the UNet model under different threshold value conditions are increased.

Description

technical field [0001] The invention relates to the technical field of deep learning in remote sensing image target interpretation, in particular to an adaptive perceptron-based remote sensing image intelligent interpretation method and system. Background technique [0002] Remote sensing technology is an important means to study the status and changes of global land cover. In recent years, deep learning technology has developed rapidly, and it can complete tasks such as identification, extraction, and inversion of targets determined by massive data through iterative training. Theoretically, deep learning can extract specific targets through remote sensing imagery and object interpretation data sets, and realize large-scale remote sensing intelligent interpretation. [0003] At present, the most widely used model for intelligent interpretation of remote sensing ground objects using deep learning technology is the fully convolutional neural network (Fully Convolutional Netwo...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06T5/40G06V20/10G06V10/774
CPCG06T5/40G06N3/045G06F18/214
Inventor 张兵朱洪波宋伟东戴激光蓝歆玫
Owner LIAONING TECHNICAL UNIVERSITY
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