Skip to Main content Skip to Navigation
Conference papers

Study on Application of Scale Invariant Feature Transform Algorithm on Automated Geometric Correction of Remote Sensing Images

Abstract : In recent years, data collected from remote sensing satellite and aerophotography have been showing a geometric sequence increase. A method of Scale Invariant Feature Transform (SIFT) algorithm could be employed for the automatic geometric fine correction. This method could avoid the impact of the rotation and zooming of template matching during the image matching process, and it can also save the labor during the image processing operation. Based on the SIFT algorithm, this paper proposes a two-step method, which firstly conducts coarse match on feature points, and then further conducts fine correction on the coarsely matched feature points by using the least squares technique. The result indicates that, this method is an effective automatic matching method for remote sensing images.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-01348251
Contributor : Hal Ifip <>
Submitted on : Friday, July 22, 2016 - 3:55:27 PM
Last modification on : Wednesday, July 21, 2021 - 10:28:03 AM
Long-term archiving on: : Sunday, October 23, 2016 - 12:44:24 PM

File

978-3-642-36137-1_41_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Hui Deng, Limin Wang, Jia Liu, Dandan Li, Zhongxin Chen, et al.. Study on Application of Scale Invariant Feature Transform Algorithm on Automated Geometric Correction of Remote Sensing Images. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. pp.352-358, ⟨10.1007/978-3-642-36137-1_41⟩. ⟨hal-01348251⟩

Share

Metrics

Record views

250

Files downloads

356