Remote sensing image optimization method and device
A remote sensing image and image technology, applied in the field of satellite remote sensing, can solve problems such as the lack of actual cloud coverage area space range, restrict the commercial application of satellite remote sensing technology, and reduce the application value of satellite remote sensing data, so as to promote the operational application ability and improve Optimize query efficiency and reduce the effect of data storage
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Embodiment 1
[0100] An embodiment of the present invention provides a remote sensing image optimization method, such as figure 1 As shown, the method includes:
[0101] S1: Obtain the characteristic parameters of each remote sensing image in the remote sensing image set to be optimized. The characteristic parameters include satellite, sensor, spatial resolution, imaging time, product level, cloud range, cloud area, cloud amount, effective imaging range, effective imaging area.
[0102] This step is used to preprocess and standardize the satellite remote sensing images to obtain the preferred characteristic parameters of the remote sensing images. A specific implementation of this step can be as follows:
[0103] S101: Perform standardized processing on the remote sensing image, and obtain parameters such as satellite, sensor, imaging time, spatial resolution, and product level among the characteristic parameters through the metadata information of the remote sensing image.
[0104] S102: P...
Embodiment 2
[0179] An embodiment of the present invention provides a remote sensing image optimization device, such as Figure 5 As shown, the device includes:
[0180] The preprocessing module 1 is used to obtain the characteristic parameters of each remote sensing image in the remote sensing image set to be optimized. The characteristic parameters include satellite, sensor, spatial resolution, imaging time, product level, cloud range, cloud area, cloud amount, effective Imaging range, effective imaging area.
[0181] The optimal strategy determination module 2 is used to determine n optimal feature indexes, and each arrangement of the n optimal feature indexes is used as an optimal strategy to obtain a preferred strategy.
[0182] The preliminary query module 3 is used to determine the preliminary query conditions, and screen the remote sensing image set to be selected according to the preliminary query conditions to obtain a list of effective remote sensing images that meet the prel...
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