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- W2388171926 abstract "Traditional approaches for detecting the changes in remote sensing images are mainly based on spectral information of the original images without utilizing other derived features, thus may result in low detection accuracy and low integrity. To solve this problem, we proposed an algorithm for detecting the changes of remote sensing images based on object-oriented idea and adaptive multi-features fusion. First, the e Cognition was used to realize image segmentation, and extract the spectral, textural feature and space characteristics. A neural network was built up to realize adaptive multi-features fusion, and the final detection results were obtained. The experimental results show that adaptive multi-feature fusion method can reduce the probability of missing detection and false detection, and improve the accuracy and integrity of the detection result." @default.
- W2388171926 created "2016-06-24" @default.
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- W2388171926 date "2015-01-01" @default.
- W2388171926 modified "2023-09-23" @default.
- W2388171926 title "Detecting the Change of High-Resolution Remote Sensing Images by Adaptive Multi-Feature Fusion" @default.
- W2388171926 hasPublicationYear "2015" @default.
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