All adder neural networks for on-board remote sensing scene classification
Directly performing remote sensing scene classification (RSSC) on satellites can effectively
relieve pressures on data downlinks. However, existing convolutional neural network (CNN) …
relieve pressures on data downlinks. However, existing convolutional neural network (CNN) …
Solving a steady-state PDE using spiking networks and neuromorphic hardware
The widely parallel, spiking neural networks of neuromorphic processors can enable
computationally powerful formulations. While recent interest has focused on primarily …
computationally powerful formulations. While recent interest has focused on primarily …
Co-design of free-space metasurface optical neuromorphic classifiers for high performance
Classification of features in a scene typically requires conversion of the incoming photonic
field into the electronic domain. Recently, an alternative approach has emerged whereby …
field into the electronic domain. Recently, an alternative approach has emerged whereby …
A Lightweight Patch-Level Change Detection Network Based on Multi-layer Feature Compression and Sensitivity-Guided Network Pruning
Existing satellite remote sensing change detection (CD) methods often crop large-scale
bitemporal image pairs into small patch pairs and then use pixel-level CD methods for fair …
bitemporal image pairs into small patch pairs and then use pixel-level CD methods for fair …
An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification
N Zhang, S Ni, T Qiao, W Liu… - … Conference on Field …, 2023 - ieeexplore.ieee.org
Directly completing remote sensing scene classification (RSSC) on space platforms can
minimize latency and relieve data downlink burdens. The all adder neural network (A^2 NN) …
minimize latency and relieve data downlink burdens. The all adder neural network (A^2 NN) …
Enhancing Remote Sensing Image Scene Classification with Satellite-Terrestrial Collaboration and Attention-Aware Transmission Policy
Advancements in Earth observation sensors on low Earth orbit (LEO) satellites have
significantly increased the volume of remote sensing images. This growth has led to …
significantly increased the volume of remote sensing images. This growth has led to …
Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices
Innovation in the field of neuromorphic computing is characterized by long periods of slow,
steady growth that are punctuated by periods of rapid discovery. In order to accelerate …
steady growth that are punctuated by periods of rapid discovery. In order to accelerate …
An introduction to neuromorphic computing and its potential impact for unattended ground sensors
AJ Hill, CM Vineyard - 2021 - osti.gov
Neuromorphic computers are hardware systems that mimic the brain's computational
process phenomenology. This is in contrast to neural network accelerators, such as the …
process phenomenology. This is in contrast to neural network accelerators, such as the …