This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

In object detection, particularly within remote sensing images, the quality of selected samples is crucial for the accuracy and robustness of detection models. However, current sampling strategies ...

Embeddable, in-memory, document-oriented database with a high-level Query builder interface.

Object-oriented convolutional neural network (CNN) has been proven to be an effective classification method for very fine spatial resolution remotely sensed imagery. It can obtain higher accuracy and ...