Remote Sensing Image Fusion (signal And Image Processing Of Earth Observations)
by Luciano Alparone /
2015 / English / PDF
9.9 MB Download
A synthesis of more than ten years of experience,
A synthesis of more than ten years of experience,Remote
Sensing Image Fusion
Remote
Sensing Image Fusion covers methods specifically designed for
remote sensing imagery. The authors supply a comprehensive
classification system and rigorous mathematical description of
advanced and state-of-the-art methods for pansharpening of
multispectral images, fusion of hyperspectral and panchromatic
images, and fusion of data from heterogeneous sensors such as
optical and synthetic aperture radar (SAR) images and integration
of thermal and visible/near-infrared images. They also explore
new trends of signal/image processing, such as compressive
sensing and sparse signal representations.
covers methods specifically designed for
remote sensing imagery. The authors supply a comprehensive
classification system and rigorous mathematical description of
advanced and state-of-the-art methods for pansharpening of
multispectral images, fusion of hyperspectral and panchromatic
images, and fusion of data from heterogeneous sensors such as
optical and synthetic aperture radar (SAR) images and integration
of thermal and visible/near-infrared images. They also explore
new trends of signal/image processing, such as compressive
sensing and sparse signal representations.
The book brings a new perspective to a multidisciplinary research
field that is becoming increasingly articulate and comprehensive.
It fosters signal/image processing methodologies toward the goal
of information extraction, either by humans or by machines, from
remotely sensed images. The authors explain how relatively simple
processing methods tailored to the specific features of the
images may be winning in terms of reliable performance over more
complex algorithms based on mathematical theories and models
unconstrained from the physical behaviors of the instruments.
The book brings a new perspective to a multidisciplinary research
field that is becoming increasingly articulate and comprehensive.
It fosters signal/image processing methodologies toward the goal
of information extraction, either by humans or by machines, from
remotely sensed images. The authors explain how relatively simple
processing methods tailored to the specific features of the
images may be winning in terms of reliable performance over more
complex algorithms based on mathematical theories and models
unconstrained from the physical behaviors of the instruments.
Ultimately, the book covers the births and developments of three
generations of RS image fusion. Established textbooks are mainly
concerned with the earliest generation of methods. This book
focuses on second generation methods you can use now and new
trends that may become third generation methods. Only the lessons
learned with second generation methods will be capable of
fostering the excellence among the myriad of methods that are
proposed almost every day by the scientific literature.
Ultimately, the book covers the births and developments of three
generations of RS image fusion. Established textbooks are mainly
concerned with the earliest generation of methods. This book
focuses on second generation methods you can use now and new
trends that may become third generation methods. Only the lessons
learned with second generation methods will be capable of
fostering the excellence among the myriad of methods that are
proposed almost every day by the scientific literature.