Alien9427's starred repositories
Conditional-Diffusion-for-SAR-to-Optical-Image-Translation
The official implementation of Conditional Diffusion for SAR to Optical Image Translation
IEEE_TPAMI_SpectralGPT
Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI:10.1109/TPAMI.2024.3362475.
SAR-Colorization-v2
A brief guideline for users.
DeepClustering
Methods and Implements of Deep Clustering
SAR_Ship_detection_CFAR
✨✨ 🛰️ Official repository of paper on improved two-parameter CFAR algorithm based on Rayleigh distribution and Mathematical Morphology for SAR ship detection. ✨✨
Satellite-Imagery-Datasets-Containing-Ships
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
SAR-Synthetic-Aperture-Radar
合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结，毕业后已经离开这个领域了。分享出来，仅此纪念。1）SAR: 成像算法，RD，CS，Radarsat-1数据成像处理。2）InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3）PolSAR: 极化定标算法，Whitt, PARC, Quegan, Ainsworth。详见 readme.md
ClusteringDirectionCentrality
A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.
dl-with-bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
Supervised-SNN-with-GD
A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error back-propagation method of SNN based on gradient descent. The chain rule proved mathematically that it is sufficient to update the SNN’s synaptic weights by directly using an optimizer. Utilizing the TensorFlow framework, a bilayer supervised learning SNN is constructed from scratch. We take the lead in the application of SAR image classification and conduct experiments on the MSTAR dataset.
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
ucasthesis
LaTeX Thesis Template for the University of Chinese Academy of Sciences
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch