In this paper, the basic principles about data preprocessing before complex image matching, control points selection, complex image matching, correlative matching based on energy image, generation of interferogram, and elimination of the flat ground effect are introduced.

Research on the Method of Image Matching Based on Semi-Variance Function;

Application of an improved adaptive genetic algorithm in image matching

Based on image matching, a local correction technology of image to image is introduced in this paper.

The preprocess technology includes color alteration, image match, Cross Area Correction, color alteration for altering the difference of color, and image match and Cross Area for altering the correction difference of geometry.

Least Square (LS) algorithm is widely used in image matching owing to its high precision, but single LS algorithm has some drawbacks (i.

Through the analysis of the auto-extracting tie points strategy of VirtuoZo AAT,the vertical line observations in the large scale aerial imagery over urbans have been introduced into the traditional continuous relative orientation;and then a multi-image matching strategy with the correction of geometric distortion in the images due to the height variance has been prompted .

A novel method is introduced for multi-image matching by synthesizing image and space information.

In the automatic reconstruction, a novel multi image matching (MIM) technique without similarity measurement is proposed.

With the help of the platform,images are captured and then processed with multi-baseline image matching algorithm to produce corresponding point features.