Orthographic file preprocessing system for aerial photo screening

Abstract

The invention discloses an orthographic-file preprocessing system for aerial photo screening, which belongs to the technical field of aerial photo screening, and comprises the following steps: readingan aerial photo folder by adopting a tool, corresponding shooting interval time for automatically picking up aerial photos to a POS (Point Of Sale) interval time table, finding out interval problem points, and carrying out targeted adjustment; reading a file path, automatically reading a single attribute file by using a tool, and picking up and processing; after the aerial photos are shot, monitoring the shot aerial photos in real time, and then evaluating the quality of the shot aerial photos according to the aerial photos, so that whether aerial photo shooting points need to be adjusted ornot is determined; the invention is scientific, reasonable and safe and convenient to use; the node can be quickly found to judge the notch position, adjustment is conducted in time, and efficient solving is achieved; a single name can be efficiently extracted by utilizing a tool under the condition that a plurality of suffixes of the same file name exist at the same time; and detection and adjustment can be carried out in real time during aerial photo shooting, so that a lot of time is saved.

Description

technical field [0001] The invention relates to the technical field of aerial photo screening, in particular to an ortho-file preprocessing system for aerial photo screening. Background technique [0002] At present, the corresponding method of aerial photos and POS is still checked in the same way. For the uncorresponding aerial photos, it needs to be screened one by one according to the trajectory and shooting trend of the aerial photos. The screening efficiency is low, and one wrong file can be found among thousands of aerial photos. Sometimes it takes half a day to sort. At present, it is impossible to extract a single file name from multiple subsidiary files of the same file in a group of files. In the copy raster work, only a single file name needs to be extracted. At present, operations such as renaming and copying are often used in the market, and there are many repeated operations. , which is relatively cumbersome; and the photographed aerial photos may be unqualifi...

AI Technical Summary

Problems solved by technology

[0002] At present, the corresponding method of aerial photos and POS is still checked in the same way. For the uncorresponding aerial photos, it needs to be screened one by one according to the trajectory and shooting trend of the aerial photos. The screening efficiency is low, and one wrong file can be found among thousands of aerial photos. Sometimes it takes half a day to sort. At present, it is impossible to extract a single file name from multiple subsidiary files of the same file in a group of files. In the copy raster work, only a single file name needs to be extracted. At present, operations such as renaming and copying are often used in the market, and there are many repeated operations. , which is relatively cumbersome; and the photographed aerial photos may be unqualified, such as obstructions, insufficient brightness, and low definition will cause the aerial photographs to fail. Generally, the unqualified aerial photographs can only be checked in the Only when it is discovered that the only measure that can be taken is to re-shoot, which is a waste of time, manpower and material resources

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