{"url":"/dataset/kennedy-space-center","name":"Kennedy Space Center","full_name":"Kennedy Space Center","description_markdown":"**Kennedy Space Center** is a dataset for the classification of wetland vegetation at the Kennedy Space Center, Florida using hyperspectral imagery. Hyperspectral data were acquired over KSC on March 23, 1996 using JPL's Airborne Visible/Infrared Imaging Spectrometer.","description_withheld":null,"homepage":"http://www.csr.utexas.edu/projects/rs/hrs/classify.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Hyperspectral images","url":"/datasets/modality/hyperspectral-images"}],"tasks":[{"name":"Hyperspectral Image Classification","url":"/task/hyperspectral-image-classification","datasets_with_task":"/datasets/task/hyperspectral-image-classification"}],"languages":[],"variants":["Kennedy Space Center"],"data_loaders":[{"repo":"https://github.com/ankushkaundal/ESS222_codes","url":"https://github.com/ankushkaundal/ESS222_codes","frameworks":[]}],"num_papers_in_archive":18,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hyperspectral-image-classification-on-kennedy","task":"Hyperspectral Image Classification","dataset_variant":"Kennedy Space Center","rows":14,"metrics":["OA@15perclass","AA@10%perclass","Kappa@10%perclass","OA@10%perclass","Overall Accuracy","F1@10%perclass"],"first_row_in_archive_order":{"model":"RPNet-RF","paper":"/paper/small-sample-hyperspectral-image","metrics":{"OA@15perclass":"98.51"},"code_links":[{"title":"UchaevD/RPNet-RF","url":"https://github.com/UchaevD/RPNet-RF"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/discrete-cosine-transform-based-joint","title":"Discrete Cosine Transform-Based Joint Spectral-Spatial Information Compression and Band Correlation Calculation for Hyperspectral Feature Extraction","date":"2024-11-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/small-sample-hyperspectral-image","title":"Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering","date":"2023-02-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/exploring-the-relationship-between-center-and","title":"Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification","date":"2022-10-31","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/generative-adversarial-networks-based-on-1","title":"Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification","date":"2022-07-16","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/graph-information-aggregation-cross-domain","title":"Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification","date":"2022-06-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/attention-based-adaptive-spectral-spatial","title":"Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification","date":"2020-12-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hyperspectral-image-classification-of","title":"Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples","date":"2020-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/generative-adversarial-networks-based-on-2","title":"Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification","date":"2020-04-03","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-metric-learning-based-feature-embedding","title":"Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification","date":"2019-10-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hsi-bert-hyperspectral-image-classification","title":"HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers","date":"2019-09-04","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/hyperspectral-image-classification-via-a","title":"Hyperspectral image classification via a random patches network","date":"2018-05-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spectral-spatial-classification-of-2","title":"Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network","date":"2017-01-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-supervised-learning-for-hyperspectral","title":"Deep supervised learning for hyperspectral data classification through convolutional neural networks","date":"2015-07-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/feature-extraction-of-hyperspectral-images","title":"Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering","date":"2013-09-16","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}