Feature Extraction Based Estimation of Rain Fall By Cross Correlating Cloud RADAR Data
نویسندگان
چکیده
منابع مشابه
Extraction and analysis of structural features in cloud radar and lidar data using wavelet based methods
Active remote sensing (i.e. the combination of cloud radar and lidar) is capable to capture the morphology of cloud fields as well as cloud internal structure. The GKSS 95 GHz cloud radar and the University of Utah high resolution lidar system have been used for studies on the internal structure and boundaries of altostratus clouds, cirrus, and frontal cloud systems. Some of the data were the b...
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The Ka-band radars are particularly suited for cloud droplets and small rain drop regime measurements, by their capability to penetrate through rainand snow-falls and to detect small hydrometeors. Traditionally three moments of Doppler spectra are used as basis to retrieve microphysical cloud parameters, e. g. characteristic particle size (Gossard, 1997), liquid water content (Liao, 1994) and t...
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Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. We propose to use overlap-based feature weigh...
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....................................................................................................................vii CHAPTER 1: INTRODUCTION...................................................................................1 1.1 Statement of the Problem...............................................................................1 1.2 Organization of This Report ...............................
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ژورنال
عنوان ژورنال: IOSR Journal of Electronics and Communication Engineering
سال: 2013
ISSN: 2278-8735,2278-2834
DOI: 10.9790/2834-0635356