Sentence examples for rain detection from inspiring English sources

The MLP rain detection algorithms were trained during the period October 2007 to March 2008.

In this study, a rain detection scheme based on Artificial Neural Networks (ANN) is developed that makes combining the spectral resolution of the SEVIRI data with TMI data.

The second scenario was designed to focus on the throughput of the whole network and emulates an environmental network wide event, rain detection in this case.

Davidson et al. (2005) found that detectable levels of P. ramorum inoculum were present largely during the period of winter rains, detection ceased shortly after the rains stopped and did not occur during the hot, dry summer.

Details of each operation are described as followings: (1) Rain streaks detection.

The filter used here consists of the following three operation steps: (1) rain streaks detection, (2) determining the filtering window size, and (3) noise filtering.

In this study, the effectiveness of the deep learning (DL) approaches to extract useful features from bispectral satellite information, infrared (IR), and water vapor (WV) channels and to produce rain/no-rain (R/NR) detection is explored [16].

The categorical verification confirms that these satellite-based rainfall estimates have difficulties in detection of rain over the southeast peninsula and northeast India.

This study is aimed at developing a more accurate operational rainfall retrieval algorithm for Indo-French Megha-Tropiques Microwave Analysis and Detection of Rain and Atmospheric Structures (MADRAS) radiometer.

These variations come from the experimental procedure (averaging of points detected from a surface) and not from the instabilities in the LiDAR detection with rain.

Echoes from rain that mask the detection of aircraft are reduced by the use of Doppler filtering and other techniques devised to separate moving aircraft from undesired clutter.