This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.

In Projecting Citizenship, Gabrielle Moser gives a comprehensive account of an unusual project produced by the British government’s Colonial Office Visual Instruction Committee at the beginning of the twentieth century—a series of lantern slide lectures that combined geography education and photography to teach schoolchildren around the world what it meant to look and to feel like an imperial citizen. Through detailed archival research and close readings, Moser elucidates the impact of this vast collection of photographs documenting the land and peoples of the British Empire, circulated between 1902 and 1945 in classrooms from Canada to Hong Kong, from the West Indies to Australia. Moser argues that these photographs played a central role in the invention and representation of imperial citizenship. She shows how citizenship became a photographable and teachable subject by tracing the intended readings of the images that the committee hoped to impart to viewers and analyzing how spectators may have used their encounters with these photographs for protest and resistance. Interweaving political and economic history, history of pedagogy, and theories of citizenship with a consideration of the aesthetic and affective dimensions of viewing the lectures, Projecting Citizenship offers important insights into the social inequalities and visual language of colonial rule.