Geospatial co-registration is a mandatory prerequisite when dealing with remote sensing
data. Inter-or intra-sensoral misregistration will negatively affect any subsequent image …

Robust, well-distributed and accurate feature matching in multi-sensor remote sensing
image is a difficult task duo to significant geometric and illumination differences. In this …

Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor
time series data characterized by high internal geometric stability, as well as high relative …

Establishing the ground control point (GCP) network is a pre-requisite for georeferencing
raw image data. Given current typical digital spatial database quality, much interest among …

Abstract The Al-Asfar wetland, locally known as Lake Al-Asfar, is the largest inland wetland
in the Arabian Peninsula. It is situated to the east of the Al-Ahsa Oasis. It was formed at the …

Image-to-image co-registration is a fundamental task for data processing of satellite time
series. This paper presents a new multi-image co-registration algorithm that simultaneously …

Image matching is a critical process in photogrammetry and remote sensing. Automatic and
reliable feature matching using well‐distributed points in very high resolution images is a …

Geometric distortions and intensity differences always exist in multi-source optical satellite
imagery, seriously reducing the similarity between images, making it difficult to obtain …

Unpredictable texture structure and motion blur continuously exist in mobile platform visual
imagery and seriously reduce the similarity between images. Thus, accurate, stable, and …

This paper describes an automatic multi-image robust alignment (MIRA) procedure able to
simultaneously co-register a time series of medium-resolution satellite images in a bundle …