Figure 1. Evolution of On-orbit Hardware for Real-Time Remote Sensing—from Reconfigurable Parallelism to General-Purpose Deep Learning Acceleration (2011–2025; representative platforms include Xilinx Virtex-7 FPGA, Intel Movidius Myriad 2 VPU, NVIDIA (IMAGE)

Beijing Institute of Technology Press Co., Ltd

Figure 1. Evolution of On-orbit Hardware for Real-Time Remote Sensing—from Reconfigurable Parallelism to General-Purpose Deep Learning Acceleration (2011–2025; representative platforms include Xilinx Virtex-7 FPGA, Intel Movidius Myriad 2 VPU, NVIDIA

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Figure 1. Evolution of On-orbit Hardware for Real-Time Remote Sensing—from Reconfigurable Parallelism to General-Purpose Deep Learning Acceleration (2011–2025; representative platforms include Xilinx Virtex-7 FPGA, Intel Movidius Myriad 2 VPU, NVIDIA Jetson TX2, Leopard \[FPGA+NPU], and NVIDIA Jetson Orin NX)

 

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Space: Science & Technology

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