Distributed adaptive framing output method based on large-scale remote sensing images

By using COG format storage and distributed adaptive image segmentation processing, the bottlenecks in storage and computation of large-scale remote sensing image data have been solved, enabling efficient and seamless remote sensing image interpretation and improving the utilization of computing resources and interpretation accuracy.

CN121214183BActive Publication Date: 2026-06-23HUBEI LUOJIA LAB +1
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Patent Information

Application Number
CN202511379093.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-25
Publication Date
2026-06-23
Estimated Expiration
2045-09-25

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Abstract

The application discloses a distributed adaptive framing output method based on large-range remote sensing images, and relates to the technical field of remote sensing image processing. The preprocessed large-range remote sensing images are stored in a COG format, the framing size and quantity are dynamically adjusted in combination with the target area range and resolution, the tasks are distributed by a data locality perception scheduler after Z-order curve sorting, the computing nodes load the framing data with a buffer area, the framing data is interpreted by a random forest, and the buffer area is cropped, finally, the virtual data set is aggregated, efficient distributed parallel processing of the large-range images is realized, the I / O bottleneck and the computing resource limitation are effectively relieved, the context missing problem on the framing boundary is solved, the intelligent interpretation efficiency and precision are improved, and the multi-resolution on-demand rendering and elastic expansion are supported to adapt to the data scale growth.
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Citation Information

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