ABSTRACT
This book is designed to help students, the public and practitioners who wish to use synthetic aperture radar (SAR) images in their work. Familiarization with the information this image type provides is a gateway to knowledge gathering, and, subsequently, geographical or environmental problem-solving. As part of many Earth observation strategies available today, SAR is a reliable source of data. Exploiting electromagnetic radiation energy bands beyond the visible range is key to widening publicly available remote sensing databases. Up-to-date and historical image series can only improve the experience of interactive spatial information applications.
Image interpretation starts with seeing to describe, then proceeds into examining isolated and spatially expressed characteristics, and concludes with an improved understanding of geographies. Applying SAR image interpretation keys with already strong significance to information extracted from optical data will expand on currently available landscape representations. Visually understood SAR images at the outset help conceptualizing machine-learned object key components. This book presents SAR image examples of geographical ensembles that in addition to tone and texture, have distinguishing features that remain to be derived numerically in object classification processes for recreating intuitive interpretation keys such as pattern, shapes, and dimensions.
