RepSViT: An Efficient Vision Transformer Based on Spiking Neural Networks for Object Recognition in Satellite On-Orbit Remote Sensing Images.
Yanhua PangLibo YaoYiping LuoChengguo DongQinglei KongBo ChenPublished in: IEEE Trans. Geosci. Remote. Sens. (2024)
Keyphrases
- remote sensing images
- remote sensing
- object recognition
- spiking neural networks
- landsat etm
- change detection
- multispectral
- computer vision
- image processing
- remotely sensed images
- multi spectral images
- biologically inspired
- orbit determination
- land cover
- remote sensing data
- hyperspectral
- vision system
- marked point processes
- satellite images
- image analysis
- high resolution
- feed forward
- visual processing
- biologically plausible
- spiking neurons
- fuzzy logic
- neural network
- image fusion
- expert systems
- visual search
- multiscale
- learning strategies
- natural images
- image data