https://github.com/Dibyabha/dl-co2-pp
공식 코드Improving Power Plant CO2 Emission Estimation with Deep Learning and Satellite/Simulated Data
Papers with Code 아카이브
Satellite Image Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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Satellite image classification is the most significant technique used in remote sensing for the computerized study and pattern recognition of satellite information, which is based on diversity structures of the image that involve rigorous validation of the training samples depending on the used classification algorithm.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/TashinAhmed/CloudsClassification
공식 코드Classification and understanding of cloud structures via satellite images with EfficientUNet
https://github.com/biasvariancelabs/aitlas-arena
공식 코드https://github.com/dipuk0506/SpinalNet
공식 코드https://github.com/dipuk0506/uq
공식 코드Reduction of Class Activation Uncertainty with Background Information
https://github.com/jmj2316/KAN_CNN/blob/main/kcn.py
공식 코드Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
https://github.com/ltdung/snt-sentry
공식 코드Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models
https://github.com/mabdelhack/hyperspectral_image_generator
공식 코드An Open-source Tool for Hyperspectral Image Augmentation in Tensorflow
https://github.com/namkoong-lab/disde
공식 코드https://github.com/toelt-llc/FlightScope_Bench
공식 코드https://github.com/uriballo/qml-satellite-image-classification
공식 코드https://github.com/wadiiboulila/weight-initialization
공식 코드https://github.com/Mechachleopteryx/SpinalNet
https://github.com/MindSpore-scientific-2/code-9/tree/main/Deformable_Patch_Representation
https://github.com/biasvariancelabs/aitlas
https://github.com/debanjanxy/GNR-652
https://github.com/etrulls/deepdesc-release
https://github.com/wherobots/geotorchai
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.