Method for progressively transmitting partial splitting blocks under remote sensing data limited bandwidth

Abstract

The invention discloses a method for progressively transmitting partial splitting blocks under remote sensing data limited bandwidth, which comprises the following steps: splitting and coding an image to be transmitted by adopting the global grid splitting and coding technology; down-sampling data to be transmitted by a transmitting end according to required pixel resolution during data transmission, encapsulating an image base data packet through taking splitting patches as a transmission unit and determining the priority of the splitting patches at different spatial positions in a data be transmitted area to decide the transmission sequence of the splitting patches; taking splitting patch data variation and navigation path forecast information as attributes in the determination of the priority, wherein the navigation path forecast information indicates moving targets in the splitting patches and the offset of a navigation forecast path, and the priority progressively decreases along with the reduction of the splitting patch data variation and the increase of the position deviation.

Description

technical field [0001] The invention relates to the technical fields of remote sensing, GIS and communication, in particular to a progressive transmission method aiming at segmenting remote sensing data into blocks under the condition of limited bandwidth communication. Background technique [0002] At present, the development of remote sensing and earth observation technology, especially the improvement of sensor resolution and the increase of image coverage area, has brought about the problem of rapid expansion of remote sensing image data. In this way, in the image data transmission service, no matter what kind of communication medium and method is used to transmit data, its communication bandwidth is always limited. Therefore, the narrow bandwidth mentioned in this patent is not just a narrow bandwidth in the traditional sense, but a limited bandwidth compared to the large amount of remote sensing data. Assuming that the TIF format remote sensing image of Xiamen Airport...

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Problems solved by technology

[0016] Multi-resolution image pyramids will increase the amount of data to about 1.5 times the original data and occupy a large amount of storage space, and additional storage and scheduling strategies such as client caching and server load balancing need to be designed. Therefore, the remote sensing data pyramid model is mostly used for large-scale data The access and visualization of remote sensing data under limited network resources is not only very memory-intensive, but also difficult to achieve the desired fast access performance in the progressive transmission of remote sensing data

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