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This paper focuses on object-oriented land cover classification using multi-temporal remotely sensed imagery. We proposed an approach by building rules using multi-temporal HJ-1 CCD imagery and other auxiliary data to classify various land cover types in central Shandong province. We analyzed the seasonal dynamics of vegetation indices (EVI (Enhanced Vegetation index) and NDVI). Vegetation index time...
Due to the strengths and weaknesses of the airborne LIDAR data and QuickBird multispectral data, an improved classification method is presented for extracting vegetation information, roads, and buildings. A plot located in San Francisco was selected as the study site. Firstly, ground points were extracted from the LIDAR data and resampled to build DEM and DSM, and then derived nDSM by subtracting...
Data fusion technique is an efficient way to benefit multi-source, multi-platform, and multi-angle remotely sensed information. Optical imagery and SAR (synthetic aperture radar) data are complementary in terms of capability of data acquisition and image characteristics. With their different capability and their unique information content respectively, fusion of high resolution SAR and optical multi-spectral...
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