Image fusion synthesizes a new image from multiple images of the same scene. The
synthesized image should be suitable for human visual perception and follow-up high-level …

In this article, we present a feature-based remote sensing (RS) image matching method
termed progressive motion coherence (PMC). We formulate the matching problem into a …

Over the past few years, drones have been widely used in many fields, while the registration
of aerial images is the basis of applications. In this paper, the RFM-SCAN algorithm is …

With the development of deep learning technology, object detection has been widely
applied in various fields. However, in cross-dataset object detection, conventional deep …

Infrared and visible image fusion (IVF) aims to generate a fused image with important
thermal target and texture information from infrared and visible images. However, the …

Image registration of multimodal remote sensing images plays a vital role in remote sensing
image analysis. However, there are significant nonlinear intensity differences between …

A novel strategy is proposed to address block artifacts in a conventional dark channel prior
(DCP). The DCP was used to estimate the transmission map based on patch-based …

In this letter, we propose a semantic guided infrared and visible image fusion method, which
can train a network to fuse different semantic objects with different fusion weights according …

误匹配剔除是提高特征匹配精度的重要手段, 星载光学遥感图像由于数据量大, 纹理重复,
光照强度变化等特点, 导致现有误匹配剔除方法的性能下降. 针对此问题, 提出一种基于局部和 …

Image fusion is the task of generating images from the same scene with different sensors.
Images obtained by different sensors have different expressions under the image target …