Semantic segmentation method of remote sensing image and training method of semantic segmentation model
A semantic segmentation and remote sensing image technology, applied in the field of images, can solve problems such as imbalance between categories, weak scene generalization ability, high noise, etc., and achieve the effect of improving recognition accuracy and precision
Pending Publication Date: 2021-12-14
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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Problems solved by technology
The characteristics of this type of image semantic segmentation are imbalance between categories, more noise, similarities between different categories, weak scene generalization ability, etc. The difficulty of segmentation is relatively large, which has caused many difficulties for technicians.
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[0037] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0038] At present, the main focus of the semantic segmentation of remote sensing images is on the optimization of the algorithm model. Most of them focus on optimizing a single model, but they often ignore the fact that the reality is complex, noisy, unbalanced between different categories, and generalization ability. Difference. The present disclosure aims to provide ...
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The invention at least provides a semantic segmentation method of a remote sensing image and a training method of a semantic segmentation model, and relates to the fields of remote sensing image processing, computer vision, big data, artificial intelligence, deep learning and the like. The specific implementation scheme comprises the steps of obtaining a target remote sensing image; performing semantic segmentation on the target remote sensing image by using different semantic segmentation models to obtain prediction images corresponding to the semantic segmentation models; and determining a semantic segmentation result of the target remote sensing image according to the voting result of each pixel point on each prediction image. According to the technical scheme, the semantic segmentation algorithm of various remote sensing images can be provided by using the difference of models, and the recognition accuracy and precision of semantic segmentation of the remote sensing images are effectively improved.
Description
technical field [0001] The present disclosure relates to the field of image technology, in particular to the fields of remote sensing image processing, computer vision, big data, artificial intelligence, deep learning, etc., and specifically relates to a semantic segmentation method for remote sensing images, a training method, device, equipment, and system for semantic segmentation models , storage media and computer program products. Background technique [0002] my country is currently in an accelerated transition period from traditional agriculture to modern agriculture, with large differences in land plots and complex planting structures. We use observation satellites and UAV remote sensing measurements to obtain large-scale remote sensing image data of crops, and use artificial intelligence algorithms for remote sensing image segmentation to classify crops, identify related crops, buildings, etc., improve the accuracy of crop identification, and reduce Reliance on man...
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Login to View More IPC IPC(8): G06K9/34G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 金博夫
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD