Multi-Sensor and Multi-Temporal Remote Sensing: Specific Single Class Mapping - Uttara Singh,Anil Kumar,Priyadarshi Upadhyay
-30% ar kodu BOOKS
Piegāde 15-21 darba dienu laikā
30 dienu atgriešanas politika
This book brings consolidated information in the form of fuzzy machine and deep learning models for single class mapping from multi-sensor multi-temporal remote sensing images at one place. It provides information about capabilities of multi-spectral and hyperspectral images, fuzzy machine learning models supported by case studies.
Jums varētu patikt arī
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Practical Electronics for Inventors
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Black Holes: The Key to Understanding the Universe
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Flowers For Algernon: A Modern Literary Classic
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Learning the Art of Electronics: A Hands-On Lab Course
Thomas C. Hayes, Paul Horowitz, David Abrams
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Raspberry Pi 5 for Radio Amateurs: Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR
-30% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
This book brings consolidated information in the form of fuzzy machine and deep learning models for single class mapping from multi-sensor multi-temporal remote sensing images at one place. It provides information about capabilities of multi-spectral and hyperspectral images, fuzzy machine learning models supported by case studies.
Vairāk informācijas
| Autors | Uttara Singh, Anil Kumar, Priyadarshi Upadhyay |
|---|---|
| Izdevējs | Taylor & Francis Ltd |
| Izlaides gads | 2025 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781032446523 |