Improved Goldstein SAR Interferogram Filter Based on Adaptive-Neighborhood Technique
IEEE Geoscience and Remote Sensing Letters Institute of Electrical and Electronics Engineers (IEEE) 12:1 (2015) 140-144
SAR interferometric phase filtering technique based on bivariate empirical mode decomposition
Remote Sensing Letters Taylor & Francis 5:8 (2014) 743-752
SAR China Land Mapping Project: Development, Production and Potential Applications
IOP Conference Series: Earth and Environmental Science IOP Publishing 17 (2014) 012229-012229
Abstract:
Large-area, seamless synthetic aperture radar (SAR) mosaics can reflect overall environmental conditions and highlight general trends in observed areas from a macroscopic standpoint, and effectively support research at the global scale, which is in high demand now across scientific fields. The SAR China Land Mapping Project (SCLM), supported by the Digital Earth Science Platform Project initiated and managed by the Center for Earth Observation and Digital Earth, Chinese Academy of Sciences (CEODE), is introduced in this paper. This project produced a large-area SAR mosaic dataset and generated the first complete seamless SAR map covering the entire land area of China using EnviSat-ASAR images. The value of the mosaic map is demonstrated by some potential applications in studies of urban distribution, rivers and lakes, geologic structures, geomorphology and paleoenvironmental change.Improved Goldstein SAR Interferogram Filter Based on Empirical Mode Decomposition
IEEE Geoscience and Remote Sensing Letters Institute of Electrical and Electronics Engineers (IEEE) 11:2 (2013) 399-403