Geoscience and Remote Sensing

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Geoscience and Remote Sensing

Author: Pei-Gee Peter Ho | Size: 91 MB | Format: PDF | Year: 2009 | pages: 598 | ISBN: 9789533070032

This book covers latest and futuristic developments in remote sensing novel theory and applications by numerous scholars, researchers and experts. It is organized into 26 excellent chapters which include optical and infrared modeling, microwave scattering propagation, forests and vegetation, soils, ocean temperature, geographic information , object classification, data mining, image processing, passive optical sensor, multispectral and hyperspectral sensing, lidar, radiometer instruments, calibration, active microwave and SAR processing. With rapid technological advances in both sensors and computing, signal processing and image processing are playing increasingly important roles in remote sensing. In chapter 15, 16 and 21, the state of the art Kernel Learning Machine method, Support Vector Machine and Maximum A Posteriori statistical classification schemes are presented. The use of electromagnetic waves for remote sensing can be separated into active and passive remote sensing. Active remote sensing utilizes an external source to irradiate the object or phenomena. The interaction of the object and radiation is used to extract information about the object. Most active remote sensors such as radars operate at the microwave and millimeter wave frequencies. On the other hand, the optical systems such as lidars are getting more commonly use. In passive remote sensing, the natural radiation properties of the object are utilized to extract information. Sensors that handle illumination from sunlight are generally categorized as passive sensors. They cover the entire electromagnetic spectrum from microwave frequencies to the visible region and beyond. Due to the fact that the strength of natural sources is weak, passive sensors require very sensitive detectors as compared with active sensors. Chapter 4, 12, 13, 18, 20, 25 and 26 contain detailed contents of these particular active/passive sensors’ new technologies. In chapter 14, the important and newer remote sensing techniques for land cover change detection are introduced. Nevertheless, in chapter 3, the development of the high resolution wireless sensor network for monitoring volcanic activity is very well introduced.

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