zxs1652
I am Chaoqi Zhang, a student in Beijing Institute of Technology. I want to study in Github and try to make some contributions to the community
Beijing Institute of TechnologyBeijing Institute of Technology
Pinned Repositories
AidCovDs
Paper accepted by ICPR 2018. \\ Title : Riemannian kernel based nystrom method for approximate infinite-dimensional covariance descriptors with application to image set classification.
AttentionDETECT
SAR detection This project focuses on a 2021 research paper on target detection in SAR images based on semi-supervised learning and attention mechanism.
cognitive_radar_identification
Project FREEDOM 2.2.1: Cognitive Radar Identification
CS-Recovery-Algorithms
cyclic-spectrum
cyclo-matlab
Cyclostationary processing concepts and methods
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
MastersProject-FAM
monogenic_signal_matlab
MATLAB/Octave code for calculating the monogenic signal, local phase, feature symmetry/asymmetry and phase congruency
sparse-plex
A MATLAB library for sparse representation problems
zxs1652's Repositories
zxs1652/AMC_preprocess
zxs1652/Custom-made-SAR-speckle-reduction
Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added thresholds). -Lee filter(Using Masks, ENL ect). Note these fitlers are developed without the use of loops to make them faster.
zxs1652/CVNN-PolSAR
Core code for simulations used for most of my publications
zxs1652/cyclostationarity-uac
Matlab code to accompany the following publication: F.-X. Socheleau, Cyclostationarity of Communication Signals in Underwater Acoustic Channels, IEEE JOE 2023.cyclic
zxs1652/cyclostationarity_analysis
Python functions and scripts to analyse cyclostationary signals
zxs1652/DeepCNN_Polsar
This code is for the paper "PolSAR Image Classification based on Deep Convolutional Neural Networks and Wavelet Transformation" that is published in the IEEE Geoscience and Remote Sensing Letters journal.
zxs1652/DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
zxs1652/FigureBest-2.0
A MATLAB plugin for automatic beautification of data plots (.fig)
zxs1652/geonrw
zxs1652/HSI_Classification
Classification for hyperspectral imagery
zxs1652/InterferenceMitigation_IM-SPARKLE
zxs1652/MF4CF
A model free 4-component scattering power decomposition for full polarimetric SAR data
zxs1652/MS-CVNets-a-novel-complex-valued-neural-networks-for-SAR-ATR
MS-CVNets: a novel SAR ATR method based on Multi-Stream Complex-Valued Networks
zxs1652/Pol-NAS
Pol-NAS: A Neural Architecture Search Method with Feature Selection for PolSAR Image Classification
zxs1652/PolSF
sar
zxs1652/PyCycloVarREB
Cyclostationary analysis in angular domain for bearing fault identification
zxs1652/Radar-Detection-with-Deep-Learning
zxs1652/radar-generate-rangeangle-heatmap
radar
zxs1652/RANet-pytorch
Resolution adaptive network
zxs1652/ReconfigISP
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
zxs1652/SAR-landslide-detection-pretraining
Repository for the paper "SAR-based landslide classification pretraining leads to better segmentation"
zxs1652/SAR-processing-matlab
SAR processing with MATLAB
zxs1652/SAR_Ship_detection_CFAR
An improved two-parameter CFAR algorithm based on Rayleigh distribution and Mathematical Morphology for SAR ship detection.
zxs1652/Satellite-Imagery-Datasets-Containing-Ships
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
zxs1652/Ship-Detection-on-Remote-Sensing-Synthetic-Aperture-Radar-Data
Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.
zxs1652/software-2
Introduction to Synthetic Aperture Radar Using Python and MATLAB,SAR
zxs1652/TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.
zxs1652/TensorLPP
Tensor_locality_preserving_projection_for_hyperspectral_image_classification
zxs1652/TIP_2022_CMFSL
Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification, TIP, 2022
zxs1652/XAI4SAR-PGIL
The physics guided and injected learning NN for SAR image patch-wise classification