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.