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- W2367724356 abstract "In the remote sensing monitoring of rice cultivation area in South China,the single sensor image data can not meet the requirements of monitoring accuracy.High spatial resolution panchromatic images and medium spatial resolution multispectral images need to be fused into a new high spatial resolution multi-spectral image,which would help to improve the accuracy of image recognition and classification.In a study reported in this paper,HJ-1A satellite 30 m resolution multi-band image and ALOS satellite 2.5 m resolution panchromatic image were used to monitor the rice area in Jinhu Region of Jiangsu Province and the two source data were fused with four fusion methods,i.e.Brovey transformation,IHS transformation,high-pass filter and wavelet transformation.Then,based on a series of fusion indexes(mean,standard deviation,average gradient,correlation coefficient,deviation index and cross-entropy),the results of the four fusion images were evaluated and described.The wavelet transformation method gave the best results for space and spectral information fusion.Afterwards,wavelet transformation was used to extract the rice growing area.Based on ground truth data for accuracy validation,the results showed that the precision of the estimated rice area increased from 79.26% for the HJ-1A image to 94.65% for the fused image.Therefore,the use of multi-source remote sensing data fusion method for monitoring the rice area in South China can significantly improve the monitoring accuracy." @default.
- W2367724356 created "2016-06-24" @default.
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- W2367724356 date "2012-01-01" @default.
- W2367724356 modified "2023-09-23" @default.
- W2367724356 title "Application of Different Remote Sensing Data Fusion Methods to Rice Area Monitoring in South Area" @default.
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