Earthquake disaster area remote sensing image interpretation method based on graph transformation knowledge embedding algorithm
The invention relates to the technical field of earthquake disaster interpretation, in particular to an earthquake disaster area remote sensing image interpretation method based on a graph transformation knowledge embedding algorithm. The method includes the steps of: acquiring earthquake disaster a...
Saved in:
Main Authors | , , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
24.09.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The invention relates to the technical field of earthquake disaster interpretation, in particular to an earthquake disaster area remote sensing image interpretation method based on a graph transformation knowledge embedding algorithm. The method includes the steps of: acquiring earthquake disaster area remote sensing image data; inputting the earthquake disaster area remote sensing image data into a pre-trained remote sensing image semantic segmentation model; outputting an interpretation result, wherein the pre-trained process of the remote sensing image semantic segmentation model comprises the following steps: acquiring a remote sensing image where a research area is located; constructing an initial remote sensing image semantic segmentation model; training the initial remote sensing image semantic segmentation model. The constructing of the initial remote sensing image semantic segmentation model comprises the following steps: calculating an original graph structure Gori of a single sample; performing tra |
---|---|
Bibliography: | Application Number: CN202110644598 |