Severe weather conditions such as rain and snow adversely affect the visual quality of images captured under such conditions thus rendering them useless for further usage and sharing. In addition, such degraded images drastically affect performance of vision systems. Hence, it is important to solve the problem of single image de-raining/de-snowing. However, this is a difficult problem to solve ...

A new method for the delineation of precipitation during daytime using multispectral satellite data is proposed. The approach is not only applicable to the detection of mainly convective precipitation by means of the commonly used relation between infrared cloud top temperature and rainfall probability but enables also the detection of stratiform precipitation (e.g. in connection with mid-latit...

We propose a new method for the delineation of precipitation using cloud properties derived from optical satellite data. This approach is not only sufficient for the detection of mainly convective precipitation by means of the commonly used connection between infrared cloud top temperature and rainfall probability but enables the detection of stratiform precipitation (e.g., in connection with m...

Recanati takes for granted the conveyance conception of linguistic communication, although it is not very clear exactly where he lies on the spectrum of possible variations. Even if we disavow all such conceptions of linguistic communication, there will be a place for semantic theory in articulating normative concepts such as logical consistency and logical validity. An approach to semantics fo...

1. My wife tells me that it’s raining, and as a result, I now have a reason to believe that it’s raining. But what kind of reason for belief does her testimony provide me with? According to the evidential view of testimony (EVT), what my wife’s testimony provides me with is evidence: evidence indicating that she believes that it’s raining, which then indicates that it is indeed raining. Until r...

While deep learning models have achieved the state-of-the-art performance on single-image rain removal, most methods only consider fixed mapping rules single synthetic dataset for lifetime. This limits real-life application as iterative optimization may change and training samples. However, when learn a sequence of datasets in multiple incremental steps, they are susceptible to catastrophic for...

Mesoscale convective systems (MCSs) in the tropics produce extensive anvil clouds, which significantly affect the transfer of radiation. This study develops an objective method to identify MCSs and their anvils by combining data from three A-train satellite instruments: Moderate Resolution Imaging Spectroradiometer (MODIS) for cloud-top size and coldness, Advanced Microwave Scanning Radiometer ...