Existing matching algorithms aim to match conjugate points among overlapping satellite scenes acquired from the same orbit and can generally achieve good matching performance. Unfortunately, no algorithm can avoid the difficulty of simultaneously processing the data sets of long-strip imagery acquired from different orbits. In this paper, the combined matching algorithm we propose introduces the LBP/C operator, which, when combined with existing feature detectors for the first time, can make possible the extraction of more stable interest points and candidates. At the same time, based on the typical characteristics of Chinese satellite imagery, we improved the filter method and achieved an effective combination of several image matchin...
This paper presents a new method for matching individ-ual line segments between images. The method u...
This paper presents an innovative methodology for the registration of multiple satellite scenes by ...
The original publication is available at www.springerlink.comRemote-sensing images registration is a...
Existing matching algorithms aim to match conjugate points among overlapping satellite scenes acquir...
Geometric distortions and intensity differences always exist in multi-source optical satellite image...
The ever-growing number of applications for satellites is being compromised by their poor direct pos...
This article focuses on the first aspect of the album of deep learning: the deep convolution method....
Image matching is a key research issue in the intelligent processing of remote sensing images. Due t...
This paper presents a novel image matching method for multi-source satellite images, which integrate...
In this paper, the performance of point similarity measure in multitemporal data of satellite images...
An algorithm for image matching of multi-sensor and multi-temporal satellite images is developed. Th...
Focusing on the serious occlusion problem in city images, this paper makes full use of the advantage...
A matching method for high resolution satellite images based on RFM is presented.Firstly,the RFM par...
International audiencen this paper, a new automatic control point selection and matching technique f...
We present a robust feature matching approach that considers features from more than two images duri...
This paper presents a new method for matching individ-ual line segments between images. The method u...
This paper presents an innovative methodology for the registration of multiple satellite scenes by ...
The original publication is available at www.springerlink.comRemote-sensing images registration is a...
Existing matching algorithms aim to match conjugate points among overlapping satellite scenes acquir...
Geometric distortions and intensity differences always exist in multi-source optical satellite image...
The ever-growing number of applications for satellites is being compromised by their poor direct pos...
This article focuses on the first aspect of the album of deep learning: the deep convolution method....
Image matching is a key research issue in the intelligent processing of remote sensing images. Due t...
This paper presents a novel image matching method for multi-source satellite images, which integrate...
In this paper, the performance of point similarity measure in multitemporal data of satellite images...
An algorithm for image matching of multi-sensor and multi-temporal satellite images is developed. Th...
Focusing on the serious occlusion problem in city images, this paper makes full use of the advantage...
A matching method for high resolution satellite images based on RFM is presented.Firstly,the RFM par...
International audiencen this paper, a new automatic control point selection and matching technique f...
We present a robust feature matching approach that considers features from more than two images duri...
This paper presents a new method for matching individ-ual line segments between images. The method u...
This paper presents an innovative methodology for the registration of multiple satellite scenes by ...
The original publication is available at www.springerlink.comRemote-sensing images registration is a...