| 1. | Infra - red imagery at around 7 . 30 a . m . on 5 august 2002 radar echoes captured at 4 a . m . on 5 august 2002
二零零二年八月五日上午4时的雷达回波图像 |
| 2. | Radar echoes at 7 . 00 a . m . on 16 july 2004 showing the spiral rainbands of kompasu
二零零四年七月十六日上午7时的雷达回波图像，显示圆规的螺旋雨带。 |
| 3. | Visible imagery at around 1 . 30 p . m . on 11 september 2002 radar echoes captured at 3 p . m . on 11 september 2002
二零零二年九月十一日下午3时的雷达回波图像 |
| 4. | Figure 3 . 6 . 4 radar echoes captured at 9 : 30 a . m . on 13 september 2006 of the tropical depression
图3 . 6 . 4热带低气压在二? ? ? ?九月十三日上午九时卅分的?达回波图像。 |
| 5. | Nature coastline looks more like to be a polyline in a small range scale ( such as 0 . 25 ) on the radar / arpa screen
在小量程时（如0 25海里） ，自然海岸线回波图像的折线化比较明显。 |
| 6. | Radar echoes captured at 4 a . m . on 5 august 2002 . at that time , the centre of kammuri was located at about 150 km east of hong kong
二零零二年八月五日上午4时的雷达回波图像，当时北冕的中心位于香港以东约150公里。 |
| 7. | Figure 3 . 3 . 5 radar echoes captured at 3 p . m . on 11 september 2002 . at that time , the southwestern part of hong kong was being affected by the outer rainbands of hagupit
二零零二年九月十一日下午3时的雷达回波图像，当时黑格比的外围雨带正影响香港的西南部。 |
| 8. | Echoes captured by the hong kong observatory weather radar at 6 : 18 a . m . on 4 june 1997 when heavy rain associated with an active trough of low pressure was affecting hong kong
天文台气象雷达于一九九七年六月四日上午六时十八分录得的雷达回波图像，当时香港正受一道活跃低压槽影响而下著大雨。 |
| 9. | Echoes captured by the hong kong observatory weather radar at around 11 a . m . on 12 august 1997 when heavy rain associated with an unstable southwesterly airstream was affecting the northern part of the new territories
天文台气象雷达于一九九七年八月十二日约上午十一时录得的雷达回波图像，当时香港正受一股不稳定的西南气流影响，新界北部下著大雨。 |
| 10. | In order to better detect the image edge information , firstly , non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly , ( 3 , 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter , adopting lifting scheme to build the most superior biorthogonal wavelet filter , and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time , floating threshold was defined and applied to the image edge detection , and the image edge position was located accurately
在激光探测系统中，微弱的回波图像淹没在强背景噪声中，为更好地检测这类含噪图像的边缘信息，首先应用特征方向非线性中值滤波技术，滤去高斯噪声；其次，选择( 3 , 1 )双正交样条小波作为原始小波滤波器，采用提升方案构造最优双正交小波滤波器，应用构造的双正交小波进行多尺度小波边缘检测；同时，通过定义浮动阈值，并应用于图像边缘检测，较准确地定位了边缘位置。 |
