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Landslide susceptibility evaluation method and device, electronic equipment, storage medium and product

A technology that is easy to evaluate and evaluate models, applied in neural learning methods, climate sustainability, image enhancement, etc., to improve performance and efficiency, and accurately predict results

Pending Publication Date: 2022-06-03
AEROSPACE INFORMATION RES INST CAS
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  • Application Information

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Problems solved by technology

[0005] The present invention provides a landslide susceptibility evaluation method, device, electronic equipment, storage medium and product, which are used to solve the defects of the evaluation model in the prior art and realize accurate evaluation of landslide susceptibility

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  • Landslide susceptibility evaluation method and device, electronic equipment, storage medium and product
  • Landslide susceptibility evaluation method and device, electronic equipment, storage medium and product

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Embodiment Construction

[0043] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0044] Deep learning, especially convolutional neural networks, has a deep network structure and powerful feature learning capabilities, and is increasingly used in the field of landslide susceptibility mapping. The landslide susceptibility mapping based on convolutional neural network takes into account the rich environmental information and the influence between various factors, and thus achieves better performan...

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Abstract

The invention provides a landslide susceptibility evaluation method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: acquiring a to-be-tested remote sensing image; inputting the to-be-tested remote sensing image into a landslide susceptibility evaluation model to obtain a landslide susceptibility score of the to-be-tested remote sensing image output by the landslide susceptibility evaluation model; wherein the landslide susceptibility evaluation model is obtained by training based on a landslide sample set and landslide susceptibility influence factors marked on the landslide sample set, and the landslide sample set is obtained based on a Gaussian thermodynamic diagram of the landslide. Smooth samples are added through the Gaussian thermodynamic diagram of the landslide, so that sample distribution is optimized, the performance and efficiency of the evaluation model are further improved, and a more accurate prediction result is obtained.

Description

technical field [0001] The invention relates to the technical field of landslide remote sensing identification, in particular to a landslide susceptibility assessment method, device, electronic equipment, storage medium and product. Background technique [0002] Landslides are one of the most destructive natural disasters in the world caused by human and natural factors. As one of the triggering factors of landslides, earthquakes are prone to cause thousands of landslides due to the special landform environment in mountainous areas. High spatial resolution remote sensing images and UAVs have been widely used in landslide investigation and identification. However, it is difficult to predict the probability of future landslides based on the image band information alone. Therefore, landslide susceptibility mapping is of great significance for post-earthquake emergency response and disaster prevention and mitigation. [0003] Landslide susceptibility is a prediction of the li...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/10G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08G06T7/66
CPCG06N3/08G06T7/66G06T2207/10032G06T2207/20081G06T2207/20084G06T2207/30181G06N3/045G06F18/241Y02A50/00
Inventor 王福涛周艺王世新熊义兵王丽涛刘文亮朱金峰杜聪赵清侯艳芳
Owner AEROSPACE INFORMATION RES INST CAS
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