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多时相InSAR技术具有探测大范围毫米级地表形变的能力，已被广泛应用于地面沉降监测。近几年，应用多时相InSAR技术监测以高铁为代表的大尺度人造线状地物形变备受关注。本文将C波段SAR数据用于高铁沿线路基形变监测，应用相位稳定性分析和改进的StaMPS技术来增加相干性点的密度和形变参数解算的稳定性。采用研究区时间跨度为21个月的47景Sentinel-1A数据，对连（云港）盐（城）高铁及其沿线区域...
基于Sentinel-1A数据的多种机器学习算法识别冰山的比较
冰山 机器学习 Sentinel-1A SAR
2020/6/16
冰山识别对于海洋环境监测和船只安全运行等具有重要的意义，是北极航道开通和北极开发过程中的重要内容。采用合成孔径雷达（SAR）影像进行冰山识别具有独特的优势，多种机器学习算法均可用于SAR影像的冰山识别中。
RICE CROP MAPPING USING SENTINEL-1A PHENOLOGICAL METRICS
Sentinel-1A crop phenology rice crop mapping Mekong Delta
2016/12/1
Rice is the most important food crop in Vietnam, providing food more than 90 million people and is considered as an essential source of income for majority of rural populations. Monitoring rice-growin...
POTENTIAL OF SENTINEL-1A FOR NATION-WIDE ROUTINE UPDATES OF ACTIVE LANDSLIDE MAPS
Landslide activity Public authorities SAR Interferometry Landslide inventory map Sentinel-1A
2016/11/24
Slope deformation is one of the typical geohazards that causes an extensive economic damage in mountainous regions. As such, they are usually intensively monitored by means of modern expertise commonl...