# Multi-scale PIIFD for Registration of Multi-source Remote Sensing Images

arXiv: https://arxiv.org/abs/2104.12572 · HTML: https://mlsanity.com/paper/2104.12572/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Apr 2021.

## Built on by (most cited first, 1 of 1)

- [MS-HLMO: Multi-scale Histogram of Local Main Orientation for Remote Sensing Image Registration](https://mlsanity.com/paper/2204.00260/) (2022)

## Abstract (arXiv)

This paper aims at providing multi-source remote sensing images registered in geometric space for image fusion. Focusing on the characteristics and differences of multi-source remote sensing images, a feature-based registration algorithm is implemented. The key technologies include image scale-space for implementing multi-scale properties, Harris corner detection for keypoints extraction, and partial intensity invariant feature descriptor (PIIFD) for keypoints description. Eventually, a multi-scale Harris-PIIFD image registration algorithm framework is proposed. The experimental results of four sets of representative real data show that the algorithm has excellent, stable performance in multi-source remote sensing image registration, and can achieve accurate spatial alignment, which has strong practical application value and certain generalization ability.