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wchch1010's Projects

arcgis-sentinel2-download-tools icon 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).

awesome-sar icon awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

caffe-cvmlp-polsar icon 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

coan icon coan

Comprehensive Opticks Archive Network

crpm-net icon crpm-net

PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain

d2l-en icon d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

dsm2dtm icon 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

eurosat icon eurosat

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

evaluatesubsidence icon evaluatesubsidence

A standalone MATLAB-based tool designed to evaluate the presence of subsiding regions in persistent scatterer interferometric synthetic aperture radar datasets

geogrid icon geogrid

A Python module for precise mapping between (pixel index, pixel displacement) in imaging coordinates and (geolocation, motion velocity) in geographic coordinates

hyp3-giant icon hyp3-giant

Tools to handle prepping data from hyp3 for processing with Giant and/or TRAIN

isce2 icon isce2

InSAR Scientific Computing Environment version 2

kapok icon kapok

Kapok: Python Library for PolInSAR Forest Height Estimation Using UAVSAR Data

landslide icon landslide

Research project on building and evaluating deep learning models for landslides detection on satellite images

landslidemonitor icon 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。

licsbas icon licsbas

LiCSBAS: InSAR time series analysis package using LiCSAR products

mintpy icon mintpy

Miami InSAR time-series software in Python

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