Despite advances in global image representation, existing image retrieval approaches
rarely consider geometric structure during the global retrieval stage. In this work, we revisit …

The simultaneous use of images from different spectra can be helpful to improve the
performance of many computer vision tasks. The core idea behind the usage of cross …

Although multispectral and hyperspectral imaging acquisitions are applied in numerous
fields, the existing spectral imaging systems suffer from either low temporal or spatial …

Infrared and visible image matching methods have been rising in popularity with the
emergence of more kinds of sensors, which provide more applications in visual navigation …

This paper proposes a study and evaluation of approaches aimed at image matching under
different modalities, together with a survey of methodologies used for performance …

Local region description of multi-sensor images remains a challenging task in remote
sensing image analysis and applications due to the non-linear radiation variations between …

Images captured by different sensors with different spectral bands cause non-linear intensity
changes between image pairs. Classic feature descriptors cannot handle this problem and …

A sensor-based vision localization system is one of the most essential technologies in
computer vision applications like an autonomous navigation, surveillance, and many others …

Distinctive and robust local feature description is crucial for remote sensing application, such
as image matching and image retrieval. A descriptor for multisource remote sensing image …

Matching multi-sensor remote sensing images is still a challenging task due to textural
changes and non-linear intensity differences. In this paper, a novel matching method is …