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首页> 外文会议>Asian conference on remote sensingACRS >DEVELOPMENT OF SAR BASED CLASSIFICATION TOOLFOR IDENTIFYING TRANSIENT GLACIER ZONES OF HIMALAYAN GLACIERS
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DEVELOPMENT OF SAR BASED CLASSIFICATION TOOLFOR IDENTIFYING TRANSIENT GLACIER ZONES OF HIMALAYAN GLACIERS

机译：基于SAR的SAR识别喜马拉雅冰川漫游区的SAR基于分类工具

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Monitoring of glacial zones provides information on prevailing weather conditions and various glacial parameters, like, wetness condition and stratigraphy, etc. Use of Synthetic Aperture Radar (SAR) data facilitates monitoring of glaciers independent from solar illumination and atmospheric conditions (to some extent). Radar Imaging SATellite-1 (RISAT-1) Medium Resolution SAR (MRS) data is used to develop dual-pol SAR signatures of transient glacial zones, namely, Debris Covered Ice Zone (DCIZ), Bare Ice Zone (BIZ), Super-imposed Ice Zone (SIZ), Wet Snow Zone (WSZ), Seasonal Frozen Percolation Zone (Seasonal FPZ). The two dimensional SAR backscattering signatures (HH and HV polarizations) of the glaciers zones define the linear decision rules. The conditional loop based logics, consist of linear equations, classify glaciated region in to different zones (level 1). Purely backscatter based classification result produces error by mixing DCIZ and seasonal FPZ due to overlapped signatures. Altitude thresholds of accumulation zone are employed to segregate the mixing (level 2). A module is integratedunder Microwave Data Analysis Software (MIDAS). MIDAS,is an in-house software, developed for analyzing microwave data and polarimetric signatures. Thecore module is written in C/C++, whereas, the Graphical User Interface (GUI) is written in TCL/TK. The module requires calibrated ortho-rectified sigma naught dual-pol SAR imagery in Geotiff (.tif) format. The glaciated area should be provided as shape file (shp) format which will generate Area of Interest (AOI). A Digital Elevation Model (DEM) file is required for altitude threshold. The output classes are saved in separate files with Boolean values. The classification module is tested over the Himalayan region from west to east. The universal backscattering based classification result of level 1 is fully automatic. In level 2, altitude threshold is variable since formation of glacial zones depend up on the prevailing weather, which is highly variable from western to eastern Himalaya.
机译：冰川区域的监测提供了有关普遍的天气条件和各种冰川参数的信息，如湿度条件和地层等。合成孔径雷达（SAR）数据的使用有助于独立于太阳能照明和大气条件（一定程度）的冰川监测。雷达成像卫星1号（RISAT-1），中分辨率SAR（MRS）的数据被用于开发短暂的冰川区，即碎片覆冰区（DCIZ），裸冰区（BIZ）的双POL SAR签名的Super强加的冰区（Siz），湿雪区（WSZ），季节性冷冻渗滤区（季节性FPZ）。冰川区域的二维SAR反向散射签名（HH和HV偏振）定义了线性决策规则。基于条件的循环逻辑包括线性方程，将冰川区域分类为不同区域（1级）。纯粹基于反向散射的分类结果由于重叠的签名而通过混合DCIZ和季节性FPZ来产生误差。采用累积区的高度阈值来分离混合（2级）。 MICRAVE数据分析软件（MIDAS）集成了模块。 Midas是一个内部软件，用于分析微波数据和偏振签名。 Thecore模块以C / C ++编写，而图形用户界面（GUI）是用TCL / TK编写的。该模块需要在地理灯（.tif）格式中校准的正交纠正的ΣIigma是双极SAR图像。冰川区域应作为形状文件（SHP）格式提供，这将产生感兴趣的区域（AOI）。高度阈值需要数字高度模型（DEM）文件。输出类别保存在具有布尔值的单独文件中。分类模块从西向东的喜马拉雅地区测试。基于级别1的通用反向散射的分类结果是完全自动的。在2级，海拔阈值是可变的，因为冰川区的形成取决于普遍的天气，这是从西部到喜马拉雅州的高度变化。

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