Abstract: Remote sensing image classification refers to the task that using algorithms to categorize satellite or aerial imagery into different land cover types. In the real world, long-tailed data ...
Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...
A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...
Abstract: The exponential growth of remote sensing image data and the high cost of manual annotation have led to insufficient labeled data, limiting classification performance. Semi-supervised methods ...
Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...
Zeng-Hui Zhu†, Wei Lu†, Si-Bao Chen*, Chris H. Q. Ding, Jin Tang, and Bin Luo, Senior Member, IEEE IEEE Transactions on Geoscience and Remote Sensing (TGRS). arXiv, TGRS. Visual comparison of ...
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