https://github.com/alejandromestrequereda/CNN_PolSAR_Despeckling
공식 코드Deep Learning Based Speckle Filtering for Polarimetric SAR Images. Application to Sentinel-1
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Despeckling is the task of suppressing speckle from Synthetic Aperture Radar (SAR) acquisitions.
Image credits: GRD Sentinel-1 SAR image despeckled with SAR2SAR-GRD
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Deep Learning Based Speckle Filtering for Polarimetric SAR Images. Application to Sentinel-1
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
As if by magic: self-supervised training of deep despeckling networks with MERLIN
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
Learning a Dilated Residual Network for SAR Image Despeckling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.