Remote sensing image scene classification is a vital area of research that involves assigning semantic labels to aerial and satellite imagery based on observed content. Driven by rapid advances in ...

Abstract: Long-tailed distribution is a common issue in remote sensing image classification (RSIC), and many datasets suffer from severe class imbalance. This imbalance often causes the classifier to ...

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In this article, we propose a novel sample augmentation approach with threshold estimation (SATE) to improve both the quantity and quality of samples for hyperspectral remotely sensed image (HRSI) ...

the classification threshold is finally set at 0.8 m after many tests. Figure 3 illustrates the ground and high vegetation points. The watershed algorithm (WA) was employed for individual tree ...

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