This article is Luffca’s 2022 wrap-up. In 2022, we sensed the potential for the RISC-V Vector Extension and the RISC-V Custom Extension.
We have successfully built a dual-core 32-bit RISC-V SoC for a Sipeed Tang Primer that we purchased for about $20 and run Linux.
We have successfully built the gateware for RV64GC NaxRiscv, a RISC-V Out-of-Order core, for Digilent FPGA board and run Debian.
In this report, we propose a CNN called SAR ATR with verification support (SAVERS), which performs region-wise (i.e. coarse) segmentation and pixel-wise segmentation. SAVERS discriminates between target and non-target, and classifies multiple target classes and non-target class by coarse segmentation.
In this report, we propose a novel CNN for end-to-end ATR from SAR imagery. The CNN named VersNet inputs a SAR image of arbitrary sizes with multiple classes and multiple targets, and outputs a SAR ATR image representing the position, class, and pose of each detected target.
This report deals with translation invariance of convolutional neural networks (CNNs) for automatic target recognition (ATR) from synthetic aperture radar (SAR) imagery.