The proposed TDCAF can be applied to the generalized image classification and ground-based cloud classification.
It should be noted that we demonstrate the effectiveness of the proposed TDCAF on the tasks of both the generalized image classification and ground-based cloud classification.
We also assess the effects of atmospheric corrections on generalized classification accuracies.
As for the generalized image classification, we utilize three generalized image databases, i.e., Amazon (images downloaded from online merchants), Webcam (low-resolution images by a web camera), and DSLR (high-resolution images by a digital SLR camera).
Furthermore, because a bird species' sensitivity often varies between locations, we argue that Parker's generalized classification of bird sensitivity should not be used as an indicator of forest environmental conditions in EA throughout HMLs in Neotropics.
A generalized classification scheme, multi-temporal sampling design, supervised classification based on intra-annual spectral indices, and design-based accuracy assessment yielded a time-series of 16 land cover maps from 1985 to 2006 with a spatial extent of 1.7 × 106 ha, minimum mapping unit of 1 ha, and mean temporal interval of < 2 years.
Most domain adaptation algorithms focus on generalized classification tasks.
Given this, and the fact that CH identified very generalized classifications, we focus our attention on the R statistic as it seems to do quite well in capturing more subtle features in our data.
While we considered both generalized classifications, here we only report the results for generalizing by edge number, as we found that it better captured underlying differences in detection difficulty (see Additional file 1 for the results of generalizing by number of triangles).
The generalized perceptrons carry out classification, assisted by sporadic nearest neighbor matching to patterns of a small reference set.
