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There are several factors that can cause decoherence or lower coherence. The main causes are temporal decoherence and baseline decoherence. Other causes include poor co-registration and thermal noise. Poor co-registration happens when sub-pixels are not aligned accurately, causing interference between different pixels. Thermal noise is related to sensor temperature, with higher temperatures leading to higher noise levels. These factors can be mitigated using sophisticated operations, but temporal and baseline decoherence are usually addressed by limiting specific sub-images. This will be discussed in the next slide. Several factors cause decoherence or lower coherence. The main causes are temporal decoherence and baseline decoherence. The other causes are poor co-registration and thermal noise. Poor co-registration is caused by the imperfect alignment of sub-pixels. If two sub-images are not aligned accurately, it may do interference between two faces at different pixels. So, the random components are not the same and cannot be removed. The thermal noise is related to the temperature of the sensors. The high temperature generally leads to the higher noise level. Here, I put the poor co-registration and thermal noise into other causes, but it doesn't mean they are not crucial. Now, we can use sophisticated operations to mitigate the impact. But for temporal decoherence and baseline decoherence, we usually alleviate their impact by limiting the specific sub-images. I will talk about this next slide.