The four-phase proposed model consists of a 3D Convolutional neural network (3DCNN) combined with an LSTM multiplicative recurrent network and Yolov6 for real-time object detection. The four stages of ...

Pay for what you use, grow as needed: Object First now offers backup storage capacity from 17 terabytes (TB) to 7 petabytes (PB) with no upfront payment, simple monthly billing, and a one-year ...

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 ...