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cvgrasp

deep_residual_unet

Keras implementation of Road Extraction by Deep Residual U-Net article

demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

excel2latex

The Excel add-in for creating LaTeX tables

fcns-for-road-extraction-keras

Road extraction of high-resolution remote sensing images based on various semantic segmentation networks

gvfsnake

GVF snake algorithm

hello-world

Just another repository

kellyyang233.github.io

See My Blog

matlab

SAR Imaging

models

Models and examples built with TensorFlow

numpy-ml

Machine learning, in numpy

pylearn2_cnn

Deep learning on SAR images

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.

sar-change-detection

Change detection in polarimetric SAR images in Python

sar_basic_concept

Some concepts about SAR image and image formation

semantic_segmentation

Semantic Segmentation using Fully Convolutional Neural Network.

shapematch

Edge based Template Matching

ship_detection

GF3 SS模式船只识别，使用卷积神经网络

skeleton

OpenCV module for skeleton based shape analysis.

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

two_years

The second anniversary commemorative for girlfriend!

whu-thesis

:memo: 武汉大学毕业论文 LaTeX 模版 2021