Name: Multi-Sensor Systems and Data Fusion in Remote Sensing (en Inglés)
SKU: 57890200
Price: 84.02 USD
Availability: InStock
Author: Kaniewski, Piotr ; Pasternak, Mateusz ; Mattoccia, Stefano

portada Multi-Sensor Systems and Data Fusion in Remote Sensing (en Inglés)

Multi-Sensor Systems and Data Fusion in Remote Sensing (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Kaniewski, Piotr ; Pasternak, Mateusz ; Mattoccia, Stefano

Idioma

Inglés

N° páginas

264

Encuadernación

Tapa Dura

Dimensiones

24.4x17x2.2 cm

Peso

0.77 kg.

ISBN13

9783036567983

Categorías

Ciencias de la tierra/geociencias
Tecnología: cuestiones generales

Multi-Sensor Systems and Data Fusion in Remote Sensing (en Inglés)

Kaniewski, Piotr ; Pasternak, Mateusz ; Mattoccia, Stefano (Autor) · Mdpi AG · Tapa Dura

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Reseña del libro "Multi-Sensor Systems and Data Fusion in Remote Sensing (en Inglés)"

Remote sensing is developing rapidly due to progress in many interconnected fields. It includes the emergence of new sensors, development of sophisticated platforms for those sensors, and advances in signal and data processing. The progress in the fields of radar, optoelectronic, acoustic, magnetic, chemical, and other sensors is stunning. Whereas the mentioned sensors are currently more sensitive and accurate, have improved resolutions, data rates, and dynamical ranges, they still have their limitations. The utilization of multi-sensor systems and joint processing of their signals or data has long been considered an effective solution for reducing the disadvantages and best utilizing their strengths. The emergence of new types of sensors creates an opportunity for scientists and engineers to develop new and more capable integrated multi-sensor systems. It is necessary to mention that the users' expectations with respect to the size of the observed area or volume, data resolution, accuracy, speed of operation, and functionality of remote sensing systems are still increasing. Extended frequency bands, improved resolutions, and data rates of the new sensors as well as the common use of distributed sensors increase the influx of data in contemporary multi-sensor systems. These facts pose new challenges for the data fusion algorithms that must often employ the newest achievements from the areas of big data mining, statistical estimation, artificial intelligence, etc. This book contains a collection of papers that provide a fresh insight into the newest developments in the fields of multi-sensor systems and data fusion.