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Abstract
Stripes are common in remote sensing imaging systems equipped with multichannel time delay integration charge-coupled devices (TDI CCDs) and have different scale characteristics depending on their causes. Large-scale stripes appearing between channels are difficult to process by most current methods. The framework of column-by-column nonuniformity correction (CCNUC) is introduced to eliminate large-scale stripes. However, the worst problem of CCNUC is the unavoidable cumulative error, which will cause an overall color cast. To eliminate large-scale stripes and suppress the cumulative error, we proposed a destriping method via unidirectional multiscale decomposition (DUMD). The striped image was decomposed by constructing a unidirectional pyramid and making difference maps layer by layer. The highest layer of the pyramid was processed by CCNUC to eliminate large-scale stripes, and multiple cumulative error suppression measures were performed to reduce overall color cast. The difference maps of the pyramid were processed by a designed filter to eliminate small-scale stripes. Experiments showed that DUMD had good destriping performance and was robust with respect to different terrains.
Highlights
High-resolution optical remote sensing satellites are generally imaged by time delay integration charge-coupled devices (TDI CCD) sensors
This paper proposed a destriping method based on unidirectional multiscale decomposition (DUMD)
To eliminate large-scale stripes, we introduced the framework of column-by-column nonuniformity correction (CCNUC), which is based on the spatial similarity of remote sensing images
Summary
High-resolution optical remote sensing satellites are generally imaged by time delay integration charge-coupled devices (TDI CCD) sensors. A single CCD consists of multiple taps, and different taps have different levels of circuit noise. A camera is often spliced by multiple CCDs to satisfy image width requirements. A single linear camera has multiple channels. There is high-frequency response nonuniformity between different detectors, and this nonuniformity will produce small-scale stripes. There is low-frequency response nonuniformity, which will produce large-scale stripes [1]. The optical satellite Gaofen-1B (GF-1B) is equipped with two multispectral cameras, each camera has three CCDs, and each CCD has two taps. A GF-1B multispectral image forms 12 channels. If the nonuniformity is not effectively corrected, the large-scale stripes will exist between these channels, and the small-scale stripes will exist in these channels
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