isprs archives XLI B7 827 2016
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Experimental results show that overall accuracy of the algorithm is 98.9%, a little bit better than that of the change vector analysis and classification comparison method, which
From the model based analysis it followed that error residuals of general or common models can be used as quality assessment measures of multi-resolution image fusion methods in
4.2.2 Correlation Coefficient: The correlation coefficient (r), called the linear correlation coefficient, measures the strength and the direction of a
It combines saliency analysis and feature learning to extract semantic information to improve the detection of harbour on high resolution remote sensing
We found that: (1) the vertical accuracy of UAV normalized digital surface models (nDSMs) is sufficiently high to obtain temporal height profiles of low vegetation over a
GROUND DEFORMATION EXTRACTION USING VISIBLE IMAGES AND LIDAR DATA IN MINING AREAa. Wenmin Hu a,b , Lixin
Moreover, the original data field method is enhanced by considering each pixel in the window as the central pixel to compute statistical characteristics between it and its
When the classification performances were compared for the coarse level scale solutions, it was found that the region-based scale selection produced more accurate
