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A new affine-based fractional order feature detection algorithm is proposed to detect syntactic and semantic structures from the backscattered signal of a TerraSAR-X band stripmap image. To further improve the alignment accuracy, we propose to adapt a view synthesis approach in the standard pipeline of feature-based image alignment. Experiments were performed to test the effectiveness and robustness of the view synthesis approach using a fractional order feature detector. The evaluation results showed that the proposed method achieves high precision and robust alignment of look-angle-varied TerraSAR-X images. The affine features detected using the fractional order operator are more stable and have strong capacity to reduce sturdy speckle noise.<\/jats:p>","DOI":"10.1515\/jisys-2017-0381","type":"journal-article","created":{"date-parts":[[2018,2,27]],"date-time":"2018-02-27T05:48:18Z","timestamp":1519710498000},"page":"364-377","source":"Crossref","is-referenced-by-count":0,"title":["A Framework for Image Alignment of TerraSAR-X Images Using Fractional Derivatives and View Synthesis Approach"],"prefix":"10.1515","volume":"29","author":[{"given":"B.","family":"Sirisha","sequence":"first","affiliation":[{"name":"Department of Electronics and Communication Engineering , K L University , Vaddeswaram, Andhra Pradesh , India"}]},{"given":"B.","family":"Sandhya","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering , MVSR Engineering College , Rangareddy, Hyderabad, Telangana , India"}]},{"given":"Chandra Sekhar","family":"Paidimarry","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering , UCE-Osmania University , Hyderabad, Telangana , India"}]},{"given":"A.S. Chandrasekhara","family":"Sastry","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering , K L University , Vaddeswaram, Andhra Pradesh , India"}]}],"member":"374","published-online":{"date-parts":[[2018,2,21]]},"reference":[{"key":"2025120523293219401_j_jisys-2017-0381_ref_001","doi-asserted-by":"crossref","unstructured":"R. Arandjelovic, Three things everyone should know to improve object retrieval, in: Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CVPR \u201912, pp. 2911\u20132918, IEEE Computer Society, Washington, DC, USA, 2012.","DOI":"10.1109\/CVPR.2012.6248018"},{"key":"2025120523293219401_j_jisys-2017-0381_ref_002","doi-asserted-by":"crossref","unstructured":"L. G. Brown, A survey of image registration techniques, ACM Comput. Surv. 24 (1992), 325\u2013376.","DOI":"10.1145\/146370.146374"},{"key":"2025120523293219401_j_jisys-2017-0381_ref_003","unstructured":"K. Diethelm and N. J. 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