← Hyperspectral Image Classification

Papers with Code · CC BY-SA 4.0

Kennedy Space Center

아카이브 평가 14건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
RPNet-RF	OA@15perclass 98.51	Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering 2023-02-23	코드 1
TC-GAN	OA@15perclass 98.39±0.63	Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification 2022-07-16	연결 없음
DCFSL	OA@15perclass 97.59±1.03	Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification 2022-06-30	코드 1
S-DMM	OA@15perclass 95.83±1.68	Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification 2019-10-30	코드 1
RPNet	OA@15perclass 95.83	Hyperspectral image classification via a random patches network 2018-05-22	코드 1
IFRF	OA@15perclass 95.07	Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering 2013-09-16	연결 없음
CA-GAN	OA@15perclass 91.17±1.54	Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification 2020-04-03	연결 없음
3D-CNN	OA@15perclass 87.18±1.00	Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network 2017-01-13	코드 1
HSI-BERT	OA@15perclass 82.93±0.94	HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers 2019-09-04	연결 없음
2D-CNN	OA@15perclass 80.53±1.31	Deep supervised learning for hyperspectral data classification through convolutional neural networks 2015-07-26	코드 1
3D VS-CNN	OA@15perclass 80.15±0.62	Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples 2020-06-01	연결 없음
SSBC	OA@10%perclass 98.75% AA@10%perclass 98.06% Kappa@10%perclass 98.61% F1@10%perclass 98.11%	Discrete Cosine Transform-Based Joint Spectral-Spatial Information Compression and Band Correlation Calculation for Hyperspectral Feature Extraction 2024-11-16	코드 1
CVSSN	Overall Accuracy 98.90±0.30% OA@10%perclass 98.90±0.30% AA@10%perclass 98.29±0.45% Kappa@10%perclass 0.9878±0.0033	Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification 2022-10-31	코드 1
A2S2K-ResNet	Overall Accuracy 99.34	Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification 2020-12-24	코드 1