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Books


	The title: Special Applications of Photogrammetry The author: Da Silva D.C. The edition: InTech, 2012, -146 pp. Photogrammetry from aerial platforms has been recognized since the 20th century as an important technique to map aerial grades, cities and regions. The modalities known as terrestrial and short distance have also been used, although in lesser proportion, in architecture, to survey historical buildings and monuments. The main characteristics of photogrammetry, which prevented its wider use in other fields or made it difficult, were the high cost of the equipment – including airplanes, special aerial or terrestrial cameras, support field equipment for topography and geodesy, restitution equipment, and the high labor costs of the highly qualified personnel, from university-educated supervisors to technicians. All steps of the process, from the planning phase and acquisition of photographs to the finalization of the product are composed of a succession of rigorous proceedings, which demand high precision and attention. This scenario of high operational costs in photogrammetry started to change in the 1990’s with the introduction of digital photogrammetry. Already, in the beginning of the second decade of the 21st Century, photogrammetric digital cameras of all sizes are available on the market with high performance computer programs in mapping, but also for specific applications in mechanics, medicine, physiotherapy and other industries. Digital photometry has brought about great gains in productivity and has facilitated its use.

	The title: Elements of photogrammetry with applications GIS The author: Paul Wolf, Bon DeWitt The edition: 3rd edition, ISBN 007-123689-9 The definitive guide to photogrammetry-fully updated Thoroughly revised to cover the latest technological advances in the field, Elements of Photogrammetry with Applications in GIS, Fourth Edition, provides complete details on the foundational principles of photogrammetry as well as important advanced concepts. Significant changes in the instruments and procedures used in modern photogrammetry, including laser scanning, are discussed. Example problems clarify computational procedures and extensive photographs and diagrams illustrate the material presented in this comprehensive resource.

	The title: Quantitative remote sensing of land surfaces The author: Shunlin Liang The edition: Wiley, London, 2003. 562p. ISBN: 0471281662 Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow.

	The title: Remote Sensing – Applications The author: Boris Escalante-Ramirez The edition: Intech ISBN 978-953-51-0651-7, 516 pages, Publisher: InTech, Chapters published June 13, 2012 under CC BY 3.0 license, DOI: 10.5772/2670 Published in print edition: June, 2012 Nowadays it is hard to find areas of human activity and development that have not profited from or contributed to remote sensing. Natural, physical and social activities find in remote sensing a common ground for interaction and development. This book intends to show the reader how remote sensing impacts other areas of science, technology, and human activity, by displaying a selected number of high quality contributions dealing with different remote sensing applications.

	The title: Computer Processing of Remotely-Sensed Images. An Introduction The author: Paul M. Mather The edition: John Wiley, 2004, -350 pp. Environmental remote sensing is the measurement, from a distance, of the spectral features of the Earth’s surface and atmosphere. These measurements are normally made by instruments carried by satellites or aircraft, and are used to infer the nature and characteristics of the land or sea surface, or of the atmosphere, at the time of observation. The successful application of remote sensing techniques to particular problems, whether they be geographical, geological, oceanographic or cartographic, requires knowledge and skills drawn from several areas of science. An understanding of the way in which remotely sensed data are acquired by a sensor mounted onboard an aircraft or satellite needs a basic knowledge of the physics involved, in particular environmental physics and optics. The use of remotely sensed data, which are inherently digital, demands a degree of mathematical and statistical skill plus some familiarity with digital computers and their operation. A high level of competence in the field in which the remotely sensed data are to be used is essential if full use of the information contained in those data is to be made. The term remote sensing specialist is thus, apparently, a contradiction in terms, for a remote-sensing scientist must possess a broad range of expertise across a variety of disciplines. While it is, of course, possible to specialise in some particular aspect of remote sensing, it is difficult to cut oneself off from the essential multidisciplinary nature of the subject.

	The title: Signal and Image Processing for Remote Sensing The author: C.H. Chen The edition: CRC Press, 2008, -276 pp. Signal processing has been playing an increasingly important role in remote sensing, though most remote sensing literatures are concerned with remote sensing images. Many data received by remote sensors such as microwave and geophysical sensors, are signals or waveforms, which can be processed by analog and digital signal processing techniques. This volume is a spin-off edition derived from Signal and Image Processing for Remote Sensing. It focuses on signal processing for remote sensing, and presents for the first time a comprehensive and up-to-date treatment of the subject. The progress in signal processing itself has been enormous in the last 30 years, but signal processing application in remote sensing has received more attention only in recent years. This volume covers important signal processing topics like principal component analysis, projected principal component analysis, Kalman adaptive filtering, prediction error filtering for interpolation, factor analysis, time series analysis, neural network classification, neural network parameter retrieval, blind source separation algorithm, independent component analysis, etc. The book presents for the first time the use of Huang–Hilbert transform in remote sensing data. As there are so many areas in remote sensing that can benefit from signal processing, we hope the book can help to attract more talents in signal processing to work on remote sensing problems that may involve environmental monitoring, resource management and planning, as well as energy exploration, and many others with the use of remotely sensed data.

	The title: Remote Sensing Digital Image Analysis. An Introduction The author: Richards J.A. The edition: Springer, 2013, -503 pp. The first edition of this book appeared 25 years ago. Since then there have been enormous advances in the availability of computing resources for the analysis of remote sensing image data, and there are many more remote sensing programs and sensors now in operation. There have also been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless, many of the fundamentals have substantially remained the same. It is the purpose of this new edition to present material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. This book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. That is important because the recognised authorities in the digital image analysis literature tend to be from engineering, computer science and mathematics. Although familiarity with a certain level of mathematics and statistics cannot be avoided, the treatment here works through analyses carefully, with a substantial degree of explanation, so that those with a minimum of mathematical preparation may still draw benefit. Appendices are included on some of the more important mathematical and statistical concepts, but a familiarity with calculus is assumed.

	The title: Signal Theory Methods in Multispectral Remote Sensing The author: Landgrebe D.A. The edition: John Wiley, 2003, -520 pp. This book is, in some ways, a sequel to the book Remote Sensing: The Quantitative Approach (McGraw-Hill, 1978). RSQA was written by key staff members of Purdue’s Laboratory for Applications of Remote Sensing and was one of the first textbooks on multispectral remote sensing. It has been out of print for several years. The general concept for the present book is to focus on the fundamentals of the analysis of multispectral and hyperspectral image data from the point of view of signal processing engineering. In this sense the concept is unique among currently available books on remote sensing. Rather than being a survey in any sense, it is to be a textbook focusing on how to analyze multispectral and hyperspectral data optimally. Indeed, many topics common in the literature are not covered, because they are not really germane or required for that purpose. The end goal is to prepare the studentheader to analyze such data in an optimal fashion. This is especially significant in the case of hyperspectral data.

	The title: Geoscience and remote Sensing The author: Pei-Gee Peter Ho The edition: InTech, Chapters published October 01, 2009 under CC BY-NC-SA 3.0 license DOI: 10.5772/46146 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.

	The title: Remote Sensing and GIS Integration The author: Qihao Weng The edition: McGraw-Hill Professional, 2009, ISBN: 007160653X, 416 pages Maximize a geographical information tool by incorporating it with up-to-date remotely sensed data GIS is predominantly a data-handling technology, while remote sensing is a data retrieval and analysis technology. This book addresses the need to combine remotely sensed data with cartographic, socioeconomic, and environmental data and GIS functionalities.