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awesome-multi-task-learning

A list of multi-task learning papers and projects.

begin

以下开始记录自己学习SAR

coral

Corner Reflector Analysis Library

dataset

depthbake

doris

Delft object-oriented radar interferometric software

ez-insar

EZ-InSAR: Matlab Interface for Easy InSAR

fieldrnn

Temporal Vegetation Classification with Recurrent Neural Networks

fringe

Fine Resolution InSAR With Generalized Eigenvectors (FRInGE)

fringeflow

Workflow for generating interferometric fringe patterns from synthetic aperture radar data

fsh

This software performs the automated forest height inversion and mosaicking from spaceborne repeat-pass L-band HV-pol InSAR correlation magnitude data (e.g. JAXA’s ALOS-1/2, and the future NASA-ISRO’s NISAR) that have been pre-processed by JPL’s ROI_PAC and/or ISCE programs.

gdal

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

graduation-project

Road Extraction from SAR Image

hyp3-gamma

HyP3 plugin for generating SAR products with GAMMA

insarflow

Parallel InSAR processing for Time-series analysis

isce2

InSAR Scientific Computing Environment version 2

isce_notes

installation notes for ISCE software

keras

Deep Learning for humans

landslide-detect

Develop and deploy a workflow to evaluate the effectiveness of Synthetic Aperture Radar in mapping surface damage caused by landslides in reported locations.

landslide-mapping-on-sar-data-by-attention-u-net

This repository contains codes and sample data from the journal paper "Rapid Mapping of landslide on SAR data by Attention U-net" by Nava et al (2022). With this repository files you can train the Attention U-Net segmentation model on Sentinel-1 SAR amplitude landslide data sampled for the Hokkaido multiple landslide event of September 2018.

mintpy

Miami InSAR time-series software in Python

nisar-workflows

opera

working with jpl-opera products

pixeloffset_mintpy

Processing of cosicorr pixel offset data with mintpy

raysar

RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.

road-extraction-d-linknet

TensorFlow implementation of D-LinkNet for road extraction.

sar-ship-dataset

sentinel_query_download

Uses ASF API to search for Sentinel-1 IW mode data based on keywords including geolocation, then downloads from either AWS Southeast Asia Public Dataset, or ASF

streamlit

Streamlit — A faster way to build and share data apps.

sweets

Simple Workflows for End-to-End InSAR Time Series