Multi-modal remote sensing image data detection method and system

A remote sensing image and data detection technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as insufficient time for remote sensing ground monitoring

Active Publication Date: 2021-05-18
WUHAN OPTICS VALLEY INFORMATION TECH
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Problems solved by technology

With the development of high-resolution remote sensing images, the existing optical satellite data are no longer sufficient to meet the timeliness of remote sensing ground monitoring

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  • Multi-modal remote sensing image data detection method and system
  • Multi-modal remote sensing image data detection method and system
  • Multi-modal remote sensing image data detection method and system

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Embodiment Construction

[0024] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0025] figure 1 A flow chart of a multimodal remote sensing image data detection method provided by an embodiment of the present invention, as shown in figure 1 As shown, the method includes: S1. Input the multimodal remote sensing image data of the first time series into the multimodal feature mining network after training, and obtain the multimodal remote sensing image data of the first time series output by the multimodal feature mining network. The first fusion vector feature corresponding to the modal remote sensing image data; and inputting the multimodal remote sensing image data of the second time series into the multimodal feature mining network after training, a...

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Abstract

The invention provides a multi-modal remote sensing image data detection method and system, electronic equipment and a storage medium, and the method comprises the steps: inputting multi-modal remote sensing image data of different time sequences into a multi-modal feature mining network, and outputting the fusion vector features of the multi-modal remote sensing image data of each time sequence, and inputting the plurality of fusion vector features into a change detection network, and identifying whether the multi-modal remote sensing image data with different time sequences have differences or not by the change detection network. The multi-modal feature mining network constructed by the invention is used for mining and fusing the features of the multi-modal remote sensing image data, so that the diversity, multi-time sequence and multi-feature requirements of a training data set are met, and the accuracy of network feature mining can be improved; and the abnormal states of the multi-modal remote sensing images with different time sequences are detected by constructing a multi-modal feature mining network and a change detection network, so that support is provided for researching the development trend of a detected area.

Description

technical field [0001] The present invention relates to the field of remote sensing image processing, and more specifically, to a multimodal remote sensing image data detection method and system. Background technique [0002] Remote sensing change detection technology has been widely used in urban planning, rural land rights confirmation, disaster early warning and other fields. It uses the visual transformation of monitoring bare soil and buildings to reflect the urban development status, and monitors the change of other plots to farmland plots to reflect high-standard farmland. Planning, monitoring changes of forest land parcels to soils in response to landslides. With the development of high-resolution remote sensing images, the existing optical satellite data are no longer sufficient to meet the timeliness of remote sensing ground monitoring. In the face of massive, multi-modal, high-resolution remote sensing datasets, traditional image interpretation techniques perform...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06N3/045G06F18/24G06F18/253G06F18/214
Inventor 洪勇罗冷坤李江董朝阳
Owner WUHAN OPTICS VALLEY INFORMATION TECH
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