Abstract
Mosaicking of remote sensing images stitches images of different moments or sensors to produce a new image under a uniform geographic coordinate system. In a mosaicking process, the critical enblending operation is divided into color balance, seamline finder, and fusion of overlapping areas, which is still challenging to maintain color consistency and data fidelity. In this article, a new mosaicking framework using spatiotemporal fusion is proposed to solve the enblending issue. Two additional low-resolution reference images are introduced for each mosaicking image. With spatiotemporal fusion methods, all mosaicking images are reconstructed to a uniform time, then the combination of overlapping areas become easy. Furthermore, a new spatiotemporal fusion method is proposed by cascading enhanced deep neural networks to fuse images quickly and effectively. In the validation procedure, the proposed method is compared with eight color harmony methods or tools by mosaicking the red, green, and blue bands of Landsat-8 images with images from the moderate-resolution imaging spectroradiometer as the reference. The digital evaluations and visual comparisons demonstrate that the newly method outweighs majority methods regarding to the radiometric, structural, and spectral fidelity, which proves the feasibility of our new enblending method.
Highlights
H IGH-RESOLUTION satellite data have significant advantages in interpreting ground contents
A mosaicking framework is proposed, which utilizes the spatiotemporal fusion for color harmony of image blocks
We suggest that upsamplers with a ratio higher than 4X be implemented by cascading multiple low-ratio upsamplers
Summary
H IGH-RESOLUTION satellite data have significant advantages in interpreting ground contents. The imaging swaths of high-resolution remote sensing images are generally small due to the comprehensive constraints of spatial, temporal, and spectral resolutions. When collecting images for a large area, the obtained images are usually from different moments or even different sensors. These images from different sources can be mosaicked as a whole for further usage. Multiple different images with overlapping areas are stitched together spanning all the areas under a uniform geographic coordinate system. Research on mosaicking technology has received widespread attention, especially when
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More From: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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