HR2SIOD-CL: A Compressed Learning Framework for Object Detection in High-Resolution Remote Sensing Images
High-resolution remote sensing object detection is a fundamental task in Earth observation. However, the storage, transmission, and downstream processing of high-resolution images impose substantial bandwidth, memory, and computational burdens. Compressed sensing (CS) samples and compresses the signals simultaneously,...