… approach for the automatic extraction of trees and the delineation of the tree crowns from
remote sensing data, and report and evaluate the results obtained with different test data sets. …

… performance on the building extraction dataset. The novelty and … for automatic building
extraction from remote sensing images. It … peer methods for automatic building extraction, which …

… In the future, we will use multi-source remote sensing data (including thermal infrared
images and LIDAR data) and deep learning to solve this problem, so as to further increase the …

… This is especially true for ALS data and autoextraction techniques, and carries implications
for all forms of remote sensed archaeological datasets, including hyperspectral data and …

… Note that for automatic image-to-image matching, what we … The procedures that we employed
to automatically extract … that we employed to automatically extract the GCRs. The grey-…

… In this paper, we propose to automatically extract urban impervious surfaces jointly using …
multi-source data. The procedure of the proposed algorithm AEIDLMRS is illustrated in Fig. 4. …

… OBIA, which has been widely used in landslide extraction, classifies different features by …
hierarchical properties from the optical imagery. To automatically extract the potential landslide, …

… are more complicated, which makes accurate extraction of them … the automatic extraction
of buildings from remote sensing images, and have proposed some effective building extraction …

… Although some remote sensing annotated datasets are … the extraction of the built-up area.
In this paper, we apply deep learning to extract the built-up area from a remote sensing image, …

… of an automatic extraction of archaeological features versus a visual interpretation from
very high-resolution remote sensing imagery. Therefore, three different methods are tested: …