Multimodal 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. Effect
Active Publication Date: 2021-07-30
WUHAN OPTICS VALLEY INFORMATION TECH
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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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[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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The present invention provides a multi-modal remote sensing image data detection method, system, electronic equipment, and storage medium. The method includes: respectively inputting multi-modal remote sensing image data of different time sequences into a multi-modal feature mining network, and outputting each time-sequence multiple The fused vector features of modal remote sensing image data, input multiple fused vector features into the change detection network, and the change detection network identifies whether there are differences between multi-modal remote sensing image data of different time series. The multi-modal feature mining network constructed by the present invention mines and fuses the features of multi-modal remote sensing image data, meets the requirements of diversity, multi-sequence, and multi-characteristics of training data sets, and can improve the accuracy of network mining features. And through the construction of multi-modal feature mining network and change detection network, the abnormal status of multi-modal remote sensing images of different time series can be detected, which provides support for the development trend of the 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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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