… feature matching, as well as the image registration. In this paper, a modality-free multimodal
remote sensing image … for the registration of multimodal remote sensing images, which is …

… feature matching, we present a robust and efficient featurebased method (called R2FD2) for
multimodal … of feature detection, we construct a repeatable feature detector called the Multi-…

… of detecting rotated bounding boxes and performs detection at a larger scale compared to
… objects in an aerial imagery setting. In addition, motivated by the use of multimodal data, as …

… a novel multimodal remote sensing image matching method based on self-similarity features.
… On this basis, we develop the image matching method, including a feature detector named …

… for multimodal classification of remote sensing images. In … four main families of multimodal
image fusion for classification… of multimodal remote sensing image classification via seven …

… for multimodal remote sensing image … image perception, it is natural to use it for feature
detection. Phase congruency is a feature detector based on the local phase of an image…

… feature points. Various experiments on a series of multimodal remote sensing images …
For feature detection, an aggregation structural feature detector (ASFD) is designed to …

… or gradient information of images to perform feature detection and description, … the feature
matching method of the remote sensing field, the most widely used salient feature for detection …

… a novel multimodal remote sensing image matching method, … features with high robustness
across multimodal remote … CNN model as a feature detector to extract interest points. The …

… to single-modal remote sensing images. Instead, multi-modal remote sensing (MMRS) image
… After this, based on the Moravec detector, the Harris corner detector was developed by the …