Xiangqin Wei

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Temporal-related features are important for improving land cover classification accuracy using remote sensing data. This study investigated the efficacy of phenological features extracted from time series MODIS Normalized Difference Vegetation Index (NDVI) data in improving the land cover classification accuracy of Landsat data. The MODIS NDVI data were(More)
The quasi-sliding-mode control based on non-linear surface which has variable damping characteristic is proposed for discrete-time systems with uncertainty which is boundary or slow time-variant. The strategy could ensure reduce the region of quasi-sliding mode, improve dynamic quality. The control chattering and steady-states chattering are avoided.(More)
Leaf area index (LAI) is an important vegetation parameter that characterizes leaf density and canopy structure, and plays an important role in global change study, land surface process simulation and agriculture monitoring. The wide field view (WFV) sensor on board the Chinese GF-1 satellite can acquire multi-spectral data with decametric spatial(More)
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