The Study on the Method of Typhoon Satellite Image Segmentation;

Characteristic analysis of satellite images of severe convective weather (thunderstorm) in southeast coast region;

Contented Based Cloudy Satellite Images Retrieval System Design and Practice;

3-D visualization simulation technology of spatial-based satellite cloud images;

Using the method of mathematical morphology,this paper fulfills filtration,segmentation and extraction of morphological features of the satellite cloud image.

The characteristics of hail cloud echoes,velocity echoes and satellite cloud images are obtained.

On the basis of the characteristics of satellite cloud picture, this paper gives one automatic classification method of satellite cloud image:Iterative Self Organizing Data Analysis Techniques Algorithm (ISODATA).

The combined analysis of the weather map, satellite cloud picture and V 3θ chart can not only reflect the southern frontal weather process clearly, but also increase the effect of the forecast of the frontal rainfall point and the rainfall volume and terminating time.

1 strongest typhoon named "pearl" in 2006 and employing global model products of European digital forecast center of MICAPS system-climate information synthetic analyzing processing system and global model products of Japanese,Washington,and T213 digital forecasting products,satellite cloud picture etc.

It is indicated that the important function of upper and lower jet stream in this heavy snow, and the function of identification and monitor to weather systems by satellite images.

Analyzing a heavy precipitation and hail, the favorable conditions occurring large region precipitation are expounded mostly through the circulation pattern, instability condition and satellite images.

Using routine observational data,T 106 model physical quantity products an d satellite images,the physical mechanism of the exceedingly torrential rain a nd elements feature were described.

Algorithm based on match in automatic inching orientation in satellite imagery;

The system includes ten parts: the satellite data mapper, the satellite data processor, identification of satellite imagery, estimation of rainfall, cloud motion estimation, weather chart superposition, view of weather observations, analysis of route weather, demonstration of cartoon and satellite imagery print.

A digital system for processing GMS—LR—Fax satellite imagery is described, which is designed by using the PC/AT microcomputer, with focus on the discussion of data sampling and a few operational problems.