In this paper, we propose an automatic image registration method for multi-sensor image fusion such as visible and infrared images. The registration is achieved by finding corresponding feature points in both input images. In general, the global statistical correlation is not guaranteed between multi-sensor images, which bring out difficulties on the image registration for multi-sensor images. To cope with this problem, mutual information is adopted to measure correspondence of features and to select faithful points. An update algorithm for projective transform i
Abstract---Image registration, the process of estimating the optimal correspondence relation between...
The major challenges in automatic multi-sensor image registration are the inconsistency in intensity...
Image registration is one of the basic image processing oper-ations in remote sensing. With the incr...
This paper presents an algorithm for accurately aligning two images of the same scene captured simul...
The enormous increase in the volume of remotely sensed data, which might be in different formats and...
Recently, a multi-sensor image fusion system has been widely investigated due to its growing applica...
This paper proposes a method to increase the degree of automation in remote sensing image registrati...
In this paper, a new method is presented to match a pair of visible and infrared images of same scen...
Multi-sensor image registration is very important in the space image proceedings for its huge applyi...
International audienceMultisensor image registration is needed in a large number of applications of ...
This paper presents a method for alignment of images acquired by sensors of different modalities (e....
There exist complex gray mapping relationships among infrared and visible images because of the diff...
In multi-source camera collaborative imaging research, it is known that the differences in size and ...
Abstract — Image registration is a crucial step in most image processing tasks for which the final r...
In the past ten years, multimodal image registration technology has been continuously developed, and...
Abstract---Image registration, the process of estimating the optimal correspondence relation between...
The major challenges in automatic multi-sensor image registration are the inconsistency in intensity...
Image registration is one of the basic image processing oper-ations in remote sensing. With the incr...
This paper presents an algorithm for accurately aligning two images of the same scene captured simul...
The enormous increase in the volume of remotely sensed data, which might be in different formats and...
Recently, a multi-sensor image fusion system has been widely investigated due to its growing applica...
This paper proposes a method to increase the degree of automation in remote sensing image registrati...
In this paper, a new method is presented to match a pair of visible and infrared images of same scen...
Multi-sensor image registration is very important in the space image proceedings for its huge applyi...
International audienceMultisensor image registration is needed in a large number of applications of ...
This paper presents a method for alignment of images acquired by sensors of different modalities (e....
There exist complex gray mapping relationships among infrared and visible images because of the diff...
In multi-source camera collaborative imaging research, it is known that the differences in size and ...
Abstract — Image registration is a crucial step in most image processing tasks for which the final r...
In the past ten years, multimodal image registration technology has been continuously developed, and...
Abstract---Image registration, the process of estimating the optimal correspondence relation between...
The major challenges in automatic multi-sensor image registration are the inconsistency in intensity...
Image registration is one of the basic image processing oper-ations in remote sensing. With the incr...