Mathematics Remote Sensing (29 results)

Paperback. Condition: Good. In this graduate-level monograph, S. Twomey, a professor of atmospheric sciences, develops the background and fundamental theory of inversion processes used in remote sensing -- e.g., atmospheric temperature structure measurements from satellites--starting at an elementary level.The text opens with examples of inversion problems from a variety of disciplines, showing that the same problem--solution of a Fredholm linear integral equation of the first kind -- is involved in every instance. A discussion of the reduction of such integral equations to a system of linear algebraic equations follows. Subsequent chapters examine methods for obtaining stable solutions at the expense of introducing constraints in the solution, the derivation of other inversion procedures, and the detailed analysis of the information content of indirect measurements. Each chapter begins with a discussion that outlines problems and questions to be covered, and a helpful Appendix includes suggestions for further reading.…

Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Good. In this graduate-level monograph, S. Twomey, a professor of atmospheric sciences, develops the background and fundamental theory of inversion processes used in remote sensing -- e.g., atmospheric temperature structure measurements from satellites--starting at an elementary level.The text opens with examples of inversion problems from a variety of disciplines, showing that the same problem--solution of a Fredholm linear integral equation of the first kind -- is involved in every instance. A discussion of the reduction of such integral equations to a system of linear algebraic equations follows. Subsequent chapters examine methods for obtaining stable solutions at the expense of introducing constraints in the solution, the derivation of other inversion procedures, and the detailed analysis of the information content of indirect measurements. Each chapter begins with a discussion that outlines problems and questions to be covered, and a helpful Appendix includes suggestions for further reading.…

Paperback. Condition: Good. Good condition paperback. Pages are clean and unmarked. Previous owners name on lower edge of textblock and first page. Tulsa's largest used bookstore. Located on South Mingo Road since 1991. No-hassle return policy if not completely satisfied.

Condition: Very Good. 237 pp., paperback, very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Soft cover. Condition: Near Fine. No Jacket. Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements. S. Twomey. Dover, 1997. 243p. trade paperback, covers lightly bumped/scuffed, binding tight, text clean/unmarked, near fine conditionISBN 10: 0486694518ISBN 13: 978048669451115.00. …

paperback. Condition: Good. Light cover wear address label inside cover, otherwise good condition, text is unmarked.

Soft cover. Condition: Very Good. No names, underlining, notes or highlighting. h2.

Elsevier Scientific Publishing Company - 1977, coll. "Developments in Geomathematics" N° 3, in-8, reliure d'éditeur, 243 pages Bon état mais exemplaire de bibliothèque - Pour les envois hors de France, la tafication «livre & brochure» pour les frais de port a disparue.Les frais de port annoncés correspondent à une moyenne. Ils seront calculés au plus juste en fonction du poids de votre article.…

2004th ed. 15 x 23 cm. 520 pages. SC Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Softcover. Condition: Sehr gut. Mineola, Dover (1996). gr.8°. Some figs. X, 243 p. Pbck. (slightly bumped).

Hardcover. Condition: Very Good. Ex-lib with usual stamps etc. o/w near fine. 243pp unread.

Condition: Good. 410 pp., hardcover, ex library, else text and binding clean and tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Couverture rigide. Condition: bon. R260270571: 1977. In-8. Relié. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 243 pages. . . . Classification Dewey : 510-Mathématiques.

hardcover. Condition: Sehr gut. 410 Seiten; 9780198536185.2 Gewicht in Gramm: 1.

Taschenbuch. Condition: Neu. Neuware - Stop treating remote sensing algorithms like black boxes. Understand the mathematics that makes them work.Remote Sensing Mathematics gives you a practical mathematical foundation for interpreting, selecting, troubleshooting, and applying the transformations, filters, and classification algorithms used throughout modern geospatial analysis.Instead of separating theory from real-world remote sensing, this book connects equations directly to satellite imagery, spectral data, image correction, feature extraction, and classification.Inside, you'll learn how to: - Build confidence with linear algebra, matrices, probability, statistics, covariance, and signal theory as they apply to imagery- Understand geometric correction, coordinate transformations, radiometric calibration, atmospheric effects, and resampling mathematically- Work through convolution, spatial filtering, Fourier analysis, wavelets, PCA, spectral transformations, and dimensionality reduction- Understand statistical classifiers, K-means, support vector machines, random forests, neural networks, and other machine-learning methods- Evaluate confusion matrices, classification accuracy, uncertainty, cross-validation, and classifier performance- Explore change detection, CNNs, semantic segmentation, transfer learning, transformers, and other emerging computational methods- Quickly revisit notation, formulas, terminology, and computational tools through dedicated reference appendices and a glossaryStructured across fifteen chapters, this vendor-neutral reference is designed for GIS professionals, remote sensing analysts, engineers, graduate students, researchers, and data scientists who want to move beyond simply running an algorithm toward understanding why it produces the result it does.If you want to strengthen the mathematical reasoning behind your remote sensing work, add Remote Sensing Mathematics to your professional library today. …

Condition: New. In English.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Textbook Binding. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: gut. 1977. Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements (Development in Geomathematics S.) In englischer Sprache. pages.

New York, Dover Publ., 1996. Paperback. X, 242 pp.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Stop treating remote sensing algorithms like black boxes. Understand the mathematics that makes them work.Remote Sensing Mathematics gives you a practical mathematical foundation for interpreting, selecting, troubleshooting, and applying the transformations, filters, and classification algorithms used throughout modern geospatial analysis.Instead of separating theory from real-world remote sensing, this book connects equations directly to satellite imagery, spectral data, image correction, feature extraction, and classification.Inside, you'll learn how to: Build confidence with linear algebra, matrices, probability, statistics, covariance, and signal theory as they apply to imageryUnderstand geometric correction, coordinate transformations, radiometric calibration, atmospheric effects, and resampling mathematicallyWork through convolution, spatial filtering, Fourier analysis, wavelets, PCA, spectral transformations, and dimensionality reductionUnderstand statistical classifiers, K-means, support vector machines, random forests, neural networks, and other machine-learning methodsEvaluate confusion matrices, classification accuracy, uncertainty, cross-validation, and classifier performanceExplore change detection, CNNs, semantic segmentation, transfer learning, transformers, and other emerging computational methodsQuickly revisit notation, formulas, terminology, and computational tools through dedicated reference appendices and a glossaryStructured across fifteen chapters, this vendor-neutral reference is designed for GIS professionals, remote sensing analysts, engineers, graduate students, researchers, and data scientists who want to move beyond simply running an algorithm toward understanding why it produces the result it does.If you want to strengthen the mathematical reasoning behind your remote sensing work, add Remote Sensing Mathematics to your professional library today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Stop treating remote sensing algorithms like black boxes. Understand the mathematics that makes them work.Remote Sensing Mathematics gives you a practical mathematical foundation for interpreting, selecting, troubleshooting, and applying the transformations, filters, and classification algorithms used throughout modern geospatial analysis.Instead of separating theory from real-world remote sensing, this book connects equations directly to satellite imagery, spectral data, image correction, feature extraction, and classification.Inside, you'll learn how to: Build confidence with linear algebra, matrices, probability, statistics, covariance, and signal theory as they apply to imageryUnderstand geometric correction, coordinate transformations, radiometric calibration, atmospheric effects, and resampling mathematicallyWork through convolution, spatial filtering, Fourier analysis, wavelets, PCA, spectral transformations, and dimensionality reductionUnderstand statistical classifiers, K-means, support vector machines, random forests, neural networks, and other machine-learning methodsEvaluate confusion matrices, classification accuracy, uncertainty, cross-validation, and classifier performanceExplore change detection, CNNs, semantic segmentation, transfer learning, transformers, and other emerging computational methodsQuickly revisit notation, formulas, terminology, and computational tools through dedicated reference appendices and a glossaryStructured across fifteen chapters, this vendor-neutral reference is designed for GIS professionals, remote sensing analysts, engineers, graduate students, researchers, and data scientists who want to move beyond simply running an algorithm toward understanding why it produces the result it does.If you want to strengthen the mathematical reasoning behind your remote sensing work, add Remote Sensing Mathematics to your professional library today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …