wchch1010's repositories
open-solution-ship-detection
Open solution to the Airbus Ship Detection Challenge
DSM2DTM
Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City
hyp3-giant
Tools to handle prepping data from hyp3 for processing with Giant and/or TRAIN
StaMPS
Stanford Method for Persistent Scatterers
PolSAR-Calibration
Some work I did during my graduate studies (Matlab Code) : (3) Polarimetric SAR (PolSAR) Calibration, including (a) the Whitt Algorithm, (b) the Quegan Algorithm, (3) the Ainsworth Algorithm.
Airbus-Ship-Detection-Challenge-2018_8th_place_solution
Kaggle Airbus Ship Detection Challenge 2018 8th place code
read-cryosat-2
Reads and writes waveform and geolocated elevation data from the ESA CryoSat-2 mission
tomography_tutorial
A tutorial for Synthetic Aperture Radar Tomography
sentinel-extractor
Copernicus Sentinel Satellites data extractor
ArcGIS-Sentinel2-Download-Tools
ArcGIS Python Toolbox for Search & Download of Sentinel-2 data (L1C/TOA, L2A/BOA) via DHuS (Copernicus Open Access Hub a.k.a. SciHub, or CODE-DE).
SARprocess-PCT
PCT model for compact polarimetric SAR ship detection
snap2stamps
Using SNAP as InSAR processor for StaMPS
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
polsarpro
A mirror of the Linux version of PolSARPro
SOFTX_2018_28
Bedforms-ATM, an open source software to analyze the scale-based hierarchies and dimensionality of natural bed forms. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711018300451
ship-detector
A Real-time ship detector using Tensorflow Object Detection API and OpenCV
py_faster_rcnn-ship_detection
Using faster rcnn detect ship from satellite images.
kapok
Kapok: Python Library for PolInSAR Forest Height Estimation Using UAVSAR Data
Detection-of-SAR-image
Graduate product in SJTU. Implemented the program to detect target ship in SAR images
caffe-cvmlp-polsar
Implementation of Complex-Valued Convolutional Multilayer Perception(CV-MLP) for classification of PolSAR image with pixels that are represented as complex value
LandslideMonitor
此项目为2017参加研电赛作品，项目为滑坡实时监测预警与应急管理平台，基本框架为WPF.拟实现从后端服务器实时获取设备采集的数据，做出不同的相应。但后端服务器未曾实现，仅将前段界面友好展示，后期可以继续完成服务器开发，将服务器放置在云服务器上，完成整个项目构建。
python_estimation_PolInSAR
Code devellopés pour l'estimation de paramètres de végétation dans un cadre multi-baseline
landslide
Research project on building and evaluating deep learning models for landslides detection on satellite images