flying (flying318)

flying318

Geek Repo

Company:Hunan University

Location:Changsha City, Hunan Province, China

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flying's repositories

flood_monitor

Monitor flood with Sentinel-1,2 images from muti-scale perspective on GEE.

License:Apache-2.0Stargazers:1Issues:0Issues:0

MRCD

multi-resolution change detection analysis, training and module design

Unsupervised-change-detection

Image co-registry, Bitemporary images change detection

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0

Arxiv_Daliy_Papers

Build a daily academic subscription pipeline! Get daily Arxiv papers and corresponding chatGPT summaries with pre-defined keywords. It is deployed on GitHub automated without the need for manual running locally.

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Best-README-Template

An awesome README template to jumpstart your projects!

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ChangeOS

ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)

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CVFPaperHelper

Automatically download multiple papers by keywords in CVPR

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delete

Homepage:

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MambaCD

ChangeMamba: Change Detection Based on Spatio-Temporal State Space Model

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rs-deep-learning

Techniques for deep learning with satellite & aerial imagery

License:Apache-2.0Stargazers:0Issues:0Issues:0

satclip

PyTorch implementation of SatCLIP

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

UFCD

A Pytorch-based toolbox for three different change detection tasks, including binary change detection (BCD), semantic change detection (SCD), and building damage assessment (BDA).

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xView2_first_place

1st place solution for "xView2: Assess Building Damage" challenge.

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WorkerVless2_vpn

这个是一个将 Cloudflare Workers - VLESS 搭配 自建优选域名 的 订阅生成器

License:Apache-2.0Stargazers:0Issues:0Issues:0

xview2nd

Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Evaluation Only". Ranked ranked 40th on leaderboard before unverified code was removed. Paper at https://arxiv.org/pdf/2004.05525.pdf. Presentation at https://slideslive.com/38926353/building-disaster-damage-assessment-in-satelite-imagery-with-multitempora

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xview2unet

Modified Unet (paired image input and more stages) for natural disaster building segmentation and damage classification for DUI XView2 2019 competition

License:NOASSERTIONStargazers:0Issues:0Issues:0