Abstract
Abstract. In order to take full advantage of SAR images, it is necessary to obtain the high precision location of the image. During the geometric correction process of images, to ensure the accuracy of image geometric correction and extract the effective mapping information from the images, precise image geolocation is important. This paper presents an improved analytical geolocation method (IAGM) that determine the high precision geolocation of each pixel in a digital SAR image. This method is based on analytical geolocation method (AGM) proposed by X. K. Yuan aiming at realizing the solution of RD model. Tests will be conducted using RADARSAT-2 SAR image. Comparing the predicted feature geolocation with the position as determined by high precision orthophoto, results indicate an accuracy of 50m is attainable with this method. Error sources will be analyzed and some recommendations about improving image location accuracy in future spaceborne SAR's will be given.
Highlights
Synthetic Aperture Radar (SAR) is a kind of active microwave remote sensing technology, which can penetrate the earth surface and obtain measurement data all-day and all-weather
During the geometric correction process of images, in order to ensure the accuracy of image geometric correction and extract the effective mapping information from the images, precise image geolocation is necessary
In view of the above experimental results, pixels of image geolocation errors can be roughly divided into three categories: (1) The limitations of analytical geolocation method (AGM) algorithm
Summary
Synthetic Aperture Radar (SAR) is a kind of active microwave remote sensing technology, which can penetrate the earth surface and obtain measurement data all-day and all-weather. It is appreciated by most countries in the world To make full use of the SAR image, it is necessary to obtain the high precision location of the image. The location information of the objects on SAR images is the basic information of the application of space-to-Earth observation technology such as topographic mapping, disaster monitoring, and resource census and change detection During the geometric correction process of images, in order to ensure the accuracy of image geometric correction and extract the effective mapping information from the images, precise image geolocation is necessary
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