MarchComesInlikeaLion

MarchComesInlikeaLion's Stars

• 1998zzz/SAR_Change_Detection_STGCNet

  Language:MATLAB3

• River-sh/A-robust-unsupervised-small-area-change-detection

  A multi-module change detection method for multi-temporal SAR images using deep learning

  Language:MATLAB221

• yulisun/IRG-McS

  MATLAB Code for Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images

  Language:MATLAB254

• leduckhai/Change-Detection-PCA-KMeans

  Unsupervised Change Detection Algorithm using PCA and K-Means Clustering

  Language:MATLAB166

• rulixiang/ChangeDetectionPCAKmeans

  MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

  Language:MATLAB7522

• MarkMoHR/Awesome-Edge-Detection-Papers

  :books: A collection of edge/contour/boundary detection papers and toolbox.

  1.4k258

• Charmve/Surface-Defect-Detection

  📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

  Language:Python3.1k521

• sunghbae/dcgan-matconvnet

  Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)

  Language:Matlab4321

• fanzhaoyun/imageSegmentation

  kmeans,fcm,kfcm实现图像分割

  Language:Matlab4818

• denkywu/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

  Language:MATLAB736236

• CASiaMIRAcbh/scale_information_sift_ssEM_image_registration

  Language:MATLAB3

• matlabbaltam/SIFT-Based-image-registration

  Language:Matlab81

• lkwq007/Image-Registration

  An FFT-Based Technique for Translation, Rotation, and Scale-Invariant Image Registration

  Language:Matlab215

• ekoshelev/REU-AcceleratedChangeDetectioninSARImages

  In this NSF funded Research Experience Undergraduates (REU) project, we develop and implement deep neural network algorithms for change detection of synthetic aperture radar (SAR) images. If you use our work, please cite our paper as a reference.

  Language:Matlab1916

• asheet-bhaskar/Content-Based-Image-Retrieval

  In this project I have used Color Difference Histogram, Local binary Pattern, Histogram of Oriented gradients, Edge Orientation Histogram, Color Layout descriptor and combinations of these to retrieve images from feature database of image dataset.

  Language:Matlab64

• mohitkumarahuja/Wavelet-Transformation-on-Images

  The wavelet transform is similar to the Fourier transform (or much more to the windowed Fourier transform) with a completely different merit function. The main difference is this:  Fourier transform decomposes the signal into sines and cosines, i.e. the functions localized in Fourier space; in contrary the wavelet transform uses functions that are localized in both the real and Fourier space.

  Language:Matlab32

• RoseJaisil/Block_matching_for_stereo_images

  Using a block-matching algorithm based on sum of differences, the corresponding points between two images are found and arrow are used for highlighting. The algorithms works perfectly for most of the cases.

  Language:MATLAB3

• summitgao/SAR_Change_Detection_NR_ELM

  The matlab code for "Change Detection from Synthetic Aperture Radar Images Based on Neighborhood-Based Ratio and Extreme Learning Machine", JARS 2016

  Language:MATLAB3117

• summitgao/SAR_Change_Detection_CWNN

  Matlab code for "Sea ice change detection in SAR images based on convolutional-wavelet neural networks," IEEE GRSL 2019

  Language:MATLAB5213

• mberkanbicer/matching_pursuit_imaging

  Matching Pursuit Algorithm for Microwave Breast Imaging

  Language:MATLAB31

• gimac/MicrowaveImaging

  This Repository Contains my Microwave Imaging Studies

  Language:Matlab107

• hbartle/nf2ff_transformation

  Algorithms to convert antenna near-field measurements into far-field results

  Language:MATLAB3312

• avms1009/Doppler-Domain-Filtering

  Using filter in Doppler domain for moving target detection

  Language:Matlab1

• xubin07161/SAR-POTDF

  Patch Ordering based SAR Image Despeckling via Transform-Domain Filtering

  Language:Matlab53

• Yexian-Ren/PolSAR-dual-domain-filter

  SIRV-Based High-Resolution PolSAR Image Speckle Suppression via Dual-Domain Filtering

  Language:MATLAB102

• Light-in-complex-nanostructures/RETOP

  RETOP is an free Matlab toobox that implements a near-to-far-field transformation for computing the radiation diagram. This transformation is implemented in many electromagnetic software, however for most of them, like COMSOL multiphysics, the transformation is restricted to object surrounded by uniform media (free space). RETOP operates for objects on substrates or buried in stratified media. It can be used to compute the radiation diagram in the superstrate and the substrate . The substrate may support guided modes or surface plasmon modes with metal layers. RETOP additionally computes the in-plane radiation diagram in the guided modes. It just needs the near-field (computed on a rectangular box that contains the object with any full-wave Maxwell’s solver) to compute the radiation diagrams. It is especially relevant for calculating the scattering of nanoparticle on substrates. Special attention is made to the interface with COMSOL Multiphysics.

  Language:MATLAB209

• alexpiti/Calc-ScatPat

  MATLAB implementation of the Huygens-Fresnel principle for the calculation of the scattering farfield pattern produced from the illumination of a finite-aperture rectangular metasurface.

  Language:MATLAB203

• ramchendooran/SFND-FMCW-RADAR-Signal-Processing

  Processing of FMCW RaDAR to generate Range Doppler Map through second FFT and filtering using 2DCFAR

  Language:MATLAB141

• kunal2350/Signal_Denoising_using_wavelet_transform

  In our project we are proposing a real time de-noising algorithm for audio signals based on the Wavelet Transform. White noise is omnipresent in the spectrum and is thus especially hard to filter. We use the locality of the wavelet function to single out the frequency domains of the signal itself and thereby able to de-noise it. Perfect denoising is not easy, the higher the threshold coefficient is set, the more the noise is detected, but the more the original signal is affected as well. We have implemented a flexible framework for denoising that includes hard and soft thresholding and different Wavelet Transforms. The presented de-noising algorithm is a comparative study of four different Wavelets and two Thresholds.

  Language:MATLAB143

• snehashis1997/Environmental-Monitoring-using-SFCW-Radar-for-Minor-Crack-Detection

  This is my "Final year Btech project topic".In this project along with my teammates, we try to develop a Radar Cross Section based SFCW Radar in Matlab and detect the minor cracks in Hilly Regions. We also use Python based image processing algorithm for locating the cracks.

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