FPGA Implementation of a Hardware Optimized Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis

Author:

Macias Ruben1ORCID,Bernabe Sergio1ORCID,Bascones Daniel1ORCID,Gonzalez Carlos1ORCID

Affiliation:

1. Computer Arquitecture and Automation, Complutense University of Madrid, Madrid, Spain

Funder

Ministerio de Ciencia e Innovación

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. State Machine Implementation of ATGP Algorithm F or Target Detection In Hyperspectral Images;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

2. Optimizing for Edge-AI Based Satellite Image Processing: A Survey of Techniques;2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS);2024-04-15

3. A Real-Time FPGA Implementation of the LCMV Algorithm for Target Classification in Hyperspectral Images Using LDL Decomposition;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Cloud-Edge Selective Background Energy Constrained Filter for Real-Time Hyperspectral Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

5. MSDMCCG: Design of an efficient Multimodal Satellite Data Processing Model for Component-level analysis of Contextual Geographic entities;2023-07-27

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