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 ...

xiii, 357 pages : 25 cm This second edition of this very accessible book has been updated to provide a practical introduction to the design of object-oriented programs using UML. It includes detailed ...

Object-oriented programming (OOP) is a programming paradigm based on the concept of objects fundamental to many programming languages, including Java and C++. OOP can be devided in two sub types: ...

Currently, reliable and accurate object detection in high-resolution remote sensing images still faces significant challenges, such as color, aspect ratio, complex background, and scale variations.