Fast multi-resolution scheduling display method for large-scale remote sensing image

Abstract

The invention discloses a fast multi-resolution scheduling display method for a large-scale remote sensing image. The method comprises a step of calculating a number of layers of an image pyramid corresponding to an optimal resolution, mapping a tile of a layer with an optimal resolution to a screen space, and determining whether the length and height of the tile is larger than the length and height of a screen or not, a size is an optimal size if so, and calling a current optimal resolution tile layer to display, a step of carrying out following judgment when at least one of length and heightof the tile is smaller than the length and height of the screen space: if the number of tiles loaded at the same time on the screen is not larger than 4, no adjustment is made; if the number of the loaded tiles is larger than 4, a larger tile with a low resolution is searched in an upper layer of the image pyramid, the search is not stopped until the length and height are larger than the length and height of the screen space after a tile of a layer of the image pyramid is mapped to the screen space, and the tile of the layer is called to display. According to the method, the system memory overhead can be reduced, the image loading speed is improved, and the number of tiles loaded on the screen is controlled to be no larger than four, and the stability of the memory usage is ensured.

Description

technical field [0001] The invention relates to geographical information and cloud computing technology, in particular to a method for fast multi-resolution scheduling and displaying of large-scale remote sensing images. Background technique [0002] High-resolution large-scale images often have a very large amount of data, which can reach the GB level. Displaying it directly will take up a lot of memory resources, and the loading time is long and the operation speed is slow. A common display method for this type of image data is to process the original data, create an image pyramid tile file, and load the corresponding tile according to the position of the viewpoint during the display process for display. However, there are the following problems in the actual display process: 1. If the size of the loaded tile is slightly smaller than the screen size, it is affected by the position of the viewpoint and the tile division method, and the number of tiles to be loaded by diffe...

AI Technical Summary

Problems solved by technology

However, there are the following problems in the actual display process: 1. If the size of the loaded tile is slightly smaller than the screen size, it is affected by the position of the viewpoint and the tile division method, and the number of tiles to be loaded by different viewpoints varies greatly

For mobile devices with limited memory resources, the stability of memory usage and image loading speed cannot be guaranteed

2. If the size of the loaded tile is much larger than the screen size, it will also increase the memory consumption of the device and slow down the display speed of the image

Images