Feature Point Matching Method Based on Consistent Edge Structures for Infrared and Visible Images

[1]  Gui-Song Xia,et al.  Robust visible-infrared image matching by exploiting dominant edge orientations , 2019, Pattern Recognit. Lett..

[2]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[3]  Yunfeng Ai,et al.  A Novel Affine and Contrast Invariant Descriptor for Infrared and Visible Image Registration , 2018, Remote. Sens..

[4]  Sajid Saleem,et al.  A Robust SIFT Descriptor for Multispectral Images , 2014, IEEE Signal Processing Letters.

[5]  Cristiano F. G. Nunes,et al.  A Local Feature Descriptor Based on Log-Gabor Filters for Keypoint Matching in Multispectral Images , 2017, IEEE Geoscience and Remote Sensing Letters.

[6]  Yuanxin Ye,et al.  A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences , 2014 .

[7]  Hong Sun,et al.  HOMPC: A Local Feature Descriptor Based on the Combination of Magnitude and Phase Congruency Information for Multi-Sensor Remote Sensing Images , 2018, Remote. Sens..

[8]  Qiang Zeng,et al.  Real-time adaptive visible and infrared image registration based on morphological gradient and C_SIFT , 2019, Journal of Real-Time Image Processing.

[9]  Yunfeng Ai,et al.  Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod , 2019, IEEE Transactions on Industrial Electronics.

[10]  Gui Yun Tian,et al.  Infrared and visible images registration with adaptable local-global feature integration for rail inspection , 2017 .

[11]  Yan Yang,et al.  Rapid multimodality registration based on MM-SURF , 2014, Neurocomputing.

[12]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[13]  Bin Li,et al.  LPPCO: A Novel Multimodal Medical Image Registration Using New Feature Descriptor Based on the Local Phase and Phase Congruency of Different Orientations , 2018, IEEE Access.

[14]  Hong Sun,et al.  A Local Feature Descriptor Based on Combination of Structure and Texture Information for Multispectral Image Matching , 2019, IEEE Geoscience and Remote Sensing Letters.

[15]  Jie Tian,et al.  A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration , 2010, IEEE Transactions on Biomedical Engineering.

[16]  Sajid Saleem,et al.  Towards feature points based image matching between satellite imagery and aerial photographs of agriculture land , 2016, Comput. Electron. Agric..

[17]  Shijie Sun,et al.  Multimodal image matching based on Multimodality Robust Line Segment Descriptor , 2016, Neurocomputing.

[18]  Jie Tian,et al.  Real-time multi-modal rigid registration based on a novel symmetric-SIFT descriptor , 2009 .

[19]  Jie Liu,et al.  Establishing Keypoint Matches on Multimodal Images With Bootstrap Strategy and Global Information , 2017, IEEE Transactions on Image Processing.

[20]  Tingfa Xu,et al.  Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association , 2019, Sensors.

[21]  Lorenzo Bruzzone,et al.  Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Ping Wang,et al.  A Coarse-to-Fine Matching Algorithm for FLIR and Optical Satellite Image Registration , 2012, IEEE Geoscience and Remote Sensing Letters.

[23]  Angel Domingo Sappa,et al.  Multispectral Image Feature Points , 2012, Sensors.

[24]  Steffen Leonhardt,et al.  Intelligent neonatal monitoring based on a virtual thermal sensor , 2014, BMC Medical Imaging.

[25]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Jie Ma,et al.  A Local Feature Descriptor Based on Oriented Structure Maps with Guided Filtering for Multispectral Remote Sensing Image Matching , 2019, Remote. Sens..

[27]  Ayaz Ahmad,et al.  Feature points for multisensor images , 2017, Comput. Electr. Eng..