Automatic geometric correction method for wide remote-sensing images

Abstract

The invention relates to an automatic geometric correction method for wide remote-sensing images based on a control point image database. The automatic geometric correction method comprises the steps of determining the geographical range of an image to be corrected; searching all control points meeting the requirements in the control point image database according to the determined geographical range of the image to be corrected; carrying out automatic matching point selection; determining control points used for geometric correction; judging whether the number and the distribution of the matched control points meet the requirements of geometric correction or not, if so, then entering the next step, and if not, then returning back to the step of searching; constructing a triangular irregular network based on the matched control point pairs and establishing the transformational relation between pixel coordinates and geodetic coordinates; and carrying out geometric correction based on a small surface element differential correction method to obtain a corrected digital orthoimage. The method provided by the invention realizes automatic searching and automatic matching of control point images, thereby being capable of reducing the time spent on collecting and selecting the control points; and the small surface element geometric correction method is adopted, thereby being capable of improving the precision of wide image geometric correction.

Description

Technical field [0001] The present invention relates to a remote sensing image correction method, more specifically to an automatic geometric correction method for wide-range remote sensing images based on a control point image database. Background technique [0002] With the development of remote sensing technology, especially the continuous development of remote sensing sensor technology, the use of remote sensing images or data obtained through remote sensing technology is becoming wider and wider. At present, the application scope of remote sensing data has been extended to the field of social information services, for example, widely used in surveying and mapping, agriculture, forestry, geology and minerals, hydrology and water resources, environmental monitoring, natural disasters, regional analysis and planning, military, land use, etc. aspect. Remote sensing images with precise geocoding can provide the features and information required by different fields such as land, ...

AI Technical Summary

Problems solved by technology

However, the environmental disaster reduction satellite image covers a large area, and it is difficult to accurately express the geometric relationship between the object point and the image point with a suitable polynomial; the attitude data recording frequency is too low and the attitude measurement accuracy is not high, the image distortion is large, and it is difficult to pass the global rational function or strict imaging model based on attitude-orbit parameters for accurate correction

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