...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of great lakes research >Remote Sensing of the Coastal Zone of Tropical Lakes Using Synthetic Aperture Radar and Optical Data
【24h】

Remote Sensing of the Coastal Zone of Tropical Lakes Using Synthetic Aperture Radar and Optical Data

机译：利用合成孔径雷达和光学数据对热带湖沿岸区域进行遥感

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The coastal zone of Lake Malawi contains the greatest diversity of freshwater ichthy-ofauna in the world. The distribution of habitats along the coast has played an important role in the spe-ciation of fishes but has not been mapped using remote sensing due to cloud cover. The discrimination of rock, sand, and vegetated coasts of tropical Lake Malawi are investigated using synthetic aperture radar (SAR) and optical remote sensing data. The effects of coherent fading, look direction, and incident angle on SAR backscatter are investigated using eight fine-beam RADARSAT SGX images covering 31 km of coast. Adaptive filter trials demonstrate pixels with relatively low backscatter values are identified as image noise most frequently. For each class most of the SAR backscatter averages derived from high and low incident angles within each look direction are similar or within sensor calibration limits. Average rock, sand, and vegetated image tones derived from shoreline segments 150 m in length are statistically separable. Linear discriminant Analyses (LDA) of the RADARSAT and SPOT data are used to attain maximal separation for 33% of rock, sand, and vegetated coastal data and to predict class membership for the 67% of coast for which class membership is known. The RADARSAT and SPOT are treated independently and then combined to use the complementary information available in multi-sensor data sets. LDA of a single extra fine beam RADARSAT image can separate rock, sand, and vegetation using SAR backscatter, coastal slope, and the angle of the shoreline relative to the satellite. Overall classification agreement is 98.5%. LDA of the four multispectral SPOT bands provided classification agreement of 79.3%. Coastal class discrimination is improved with the addition of one or more SAR images to the SPOT data. Classification is not improved above 98.9% when more than one SAR image is added to the data from SPOT. SAR data can be used to map rock, sand, and vegetated coastal zones in areas of persistent cloud cover.
机译：马拉维湖沿岸地区拥有世界上种类最多的淡水鱼鳞鱼。沿海地区的栖息地分布在鱼类的形成中起着重要作用，但由于云层覆盖，尚未使用遥感技术对其进行绘制。使用合成孔径雷达（SAR）和光学遥感数据，研究了热带马拉维湖的岩石，沙子和植被海岸的判别。使用覆盖31公里海岸的八张细光束RADARSAT SGX图像，研究了相干衰落，视线方向和入射角对SAR背向散射的影响。自适应滤波器试验表明，反向散射值相对较低的像素最常被识别为图像噪声。对于每个类别，从每个视线方向内的高入射角和低入射角得出的大多数SAR背向散射平均值均相似或在传感器校准范围内。从长度为150 m的海岸线段得出的平均岩石，沙子和植被图像色调在统计上是可分离的。 RADARSAT和SPOT数据的线性判别分析（LDA）用于获得33％的岩石，沙子和植被海岸数据的最大距离，并预测已知67％海岸成员所属海岸的等级成员。 RADARSAT和SPOT被独立处理，然后合并以使用多传感器数据集中可用的补充信息。单个超细光束RADARSAT图像的LDA可以使用SAR背向散射，沿海坡度以及海岸线相对于卫星的角度来分离岩石，沙子和植被。总体分类协议为98.5％。四个多光谱SPOT波段的LDA提供了79.3％的分类协议。通过向SPOT数据添加一个或多个SAR图像，可以改善沿海地区的歧视。当将多个SAR图像添加到SPOT的数据中时，分类不会提高到98.9％以上。 SAR数据可用于绘制永久性云层覆盖区域的岩石，沙子和植被海岸带。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号