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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Object-Based Crop Classification With Landsat-Modis Enhanced Time-Series Data, Qingting Li, Cuizhen Wang, Bing Zhang, Linlin Lu
Object-Based Crop Classification With Landsat-Modis Enhanced Time-Series Data, Qingting Li, Cuizhen Wang, Bing Zhang, Linlin Lu
Faculty Publications
Cropland mapping via remote sensing can provide crucial information for agri-ecological studies. Time series of remote sensing imagery is particularly useful for agricultural land classification. This study investigated the synergistic use of feature selection, Object-Based Image Analysis (OBIA) segmentation and decision tree classification for cropland mapping using a finer temporal-resolution Landsat-MODIS Enhanced time series in 2007. The enhanced time series extracted 26 layers of Normalized Difference Vegetation Index (NDVI) and five NDVI Time Series Indices (TSI) in a subset of agricultural land of Southwest Missouri. A feature selection procedure using the Stepwise Discriminant Analysis (SDA) was performed, and 10 optimal …
Improved Polsar Image Classification By The Use Of Multi-Feature Combination, Lei Deng, Ya-Nan Yan, Cuizhen Wang
Improved Polsar Image Classification By The Use Of Multi-Feature Combination, Lei Deng, Ya-Nan Yan, Cuizhen Wang
Faculty Publications
Polarimetric SAR (POLSAR) provides a rich set of information about objects on land surfaces. However, not all information works on land surface classification. This study proposes a new, integrated algorithm for optimal urban classification using POLSAR data. Both polarimetric decomposition and time-frequency (TF) decomposition were used to mine the hidden information of objects in POLSAR data, which was then applied in the C5.0 decision tree algorithm for optimal feature selection and classification. Using a NASA/JPL AIRSAR POLSAR scene as an example, the overall accuracy and kappa coefficient of the proposed method reached 91.17% and 0.90 in the L-band, much higher …