Explainable Earth Observation Data (17 results)
- Hardcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
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hardcover. Condition: Fine.
Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 175.10
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Condition: As New. Unread book in perfect condition.
Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: New.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 185.67
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Condition: New.
Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 181.76
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Condition: As New. Unread book in perfect condition.
Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 183.18
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Condition: New.
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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US$ 183.20
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- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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US$ 212.61
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
- International Edition
Seller: UK BOOKS STORE, London, LONDO, United KingdomUK BOOKS STORE
Contact seller5-star sellerInternational EditionCondition: New
US$ 263.99
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Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 268.32
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Hardcover. Condition: Brand New. 320 pages. 9.18x6.12x9.21 inches. In Stock.
- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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US$ 192.19
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Hardcover. Condition: new. Hardcover. The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis al…gorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.Features:Examines explainability of algorithms from the aspect of generalizability and reliabilityReviews state-of-the-art explainability strategies related to the preprocessing algorithmsProvides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithmsDiscusses explainable ante-hoc and post-hoc approaches for EO data analysisServes as a foundational reference for developing future EO data processing strategiesAddresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processingThis book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 211.24
US$ 11.62 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 223.40
US$ 50.48 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis al…gorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.Features:Examines explainability of algorithms from the aspect of generalizability and reliabilityReviews state-of-the-art explainability strategies related to the preprocessing algorithmsProvides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithmsDiscusses explainable ante-hoc and post-hoc approaches for EO data analysisServes as a foundational reference for developing future EO data processing strategiesAddresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processingThis book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
US$ 251.70
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis al…gorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.Features:Examines explainability of algorithms from the aspect of generalizability and reliabilityReviews state-of-the-art explainability strategies related to the preprocessing algorithmsProvides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithmsDiscusses explainable ante-hoc and post-hoc approaches for EO data analysisServes as a foundational reference for developing future EO data processing strategiesAddresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processingThis book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
