Geoscience and Remote Sensing
معرفی کتاب «Geoscience and Remote Sensing» نوشتهٔ Pei-Gee Peter Ho (ed.)، منتشرشده توسط نشر INTECH Open Access Publisher در سال 2009. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است. «Geoscience and Remote Sensing» در دستهٔ بدون دستهبندی قرار دارد.
Remote Sensing is collecting and interpreting information on targets without being in physical contact with the objects. Aircraft, satellites ...etc are the major platforms for remote sensing observations. Unlike electrical, magnetic and gravity surveys that measure force fields, remote sensing technology is commonly referred to methods that employ electromagnetic energy as radio waves, light and heat as the means of detecting and measuring target characteristics. Geoscience is a study of nature world from the core of the earth, to the depths of oceans and to the outer space. This branch of study can help mitigate volcanic eruptions, floods, landslides ... etc terrible human life disaster and help develop ground water, mineral ores, fossil fuels and construction materials. Also, it studies physical, chemical reactions to understand the distribution of the nature resources. Therefore, the geoscience encompass earth, atmospheric, oceanography, pedology, petrology, mineralogy, hydrology and geology. 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. Last but not the least, this book presented chapters that highlight frontier works in remote sensing information processing. I am very pleased to have leaders in the field to prepare and contribute their most current research and development work. Although no attempt is made to cover every topic in remote sensing and geoscience, these entire 26 remote sensing technology chapters shall give readers a good insight. All topics listed are equal important and significant Preface......Page 5 Benger and Simon Nicholas......Page 11 Jyrki Tuominen, Tarmo Lipping, Viljo Kuosmanen and Reija Haapanen......Page 39 José Chilo, Andreas Schlüter and Thomas Lindblad......Page 63 Stefan Knedlik, Junchuan Zhou and Otmar Loffeld......Page 85 Vincent G. Ambrosia and Steven S. Wegener......Page 101 Jin-King Liu, Kuan-Tsung Chang, Jiann-Yeou, Wei-Cheng Hsu, Zu-Yi Liao, Chi-Chung Lau and Tian-Yuan Shih......Page 125 Arturo Beltran, Laura Díaz, Carlos Granell, Joaquín Huerta and Carlos Abargues......Page 143 Shikada Masaaki, Takeuchi Sayaka, Shimano Sota and Moriya Mitoshi......Page 163 Nadya T. Vinogradova......Page 191 A. Bannari and K. Staenz......Page 207 Takashi Kusaka and Ryuichi Taniguchi......Page 239 Alessandra Budillon......Page 251 Dirk Hoekman......Page 267 Paolo Villa, Giovanmaria Lechi, Mario A. Gomarasca......Page 287 Adrián González, José Moreno, Graham Russell and Astrid Márquez......Page 311 Pei-Gee Peter Ho......Page 333 Apprato Dominique, Gout Christian and Le Guyader Carole......Page 357 Shi Jun, Zhang Xiaoling, Yang Jianyu, Liao Kefei and Wang Yinbo......Page 385 Jesus Soria-Ruiz, Yolanda Fernandez-Ordonez and Heather McNairn......Page 415 Stéphane Méric, Franck Fayard and Éric Pottier......Page 431 Orlando Alves Máximo and David Fernandes......Page 465 Kenneth A. Duda, Michael Ramsey, Rick Wessels and Jonathan Dehn......Page 483 Jose Luis Alvarez-Perez......Page 507 A. K. M. Azad Hossain and Greg Easson......Page 539 Claudia Notarnicola......Page 565 Zolotarev I.D. and Miller Ya.E.......Page 589 The rationale of the IEM and therefore of the IEM2M is to perform a second iteration in the integral equations describing the rough surface electromagnetic scattering problem, as given in Poggio and Miller Poggio & Miller (1973). The first iteration corresponds to the KA, where each point on the surface is locally surrounded by neighbouring points lying on a flat surface, which is equivalent to the assumption of a low curvature. As a matter of fact, the proper in-
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