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"Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed.To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops.

Phenomics --- artificial vision --- RGB data --- RGB image analysis --- Multispectral imaging

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What we call the "color" of an object is the result of a very complicated and not yet fully understood mechanism that involves the interaction between the light reflected by the object surface and the eyes, and the subsequent analysis of the retinal signal by the brain. For these reasons, research into color is intrinsically multidisciplinary and can be conducted from many points of view. The contributions presented in this book reflect this spirit, ranging from rigorous mathematical models of color geometry, to the psychophysical discussion of chromatic visual illusion, passing through state-of-the-art computational models in color enhancement. The idea behind this book is to give the reader an idea of the richness and variety of the research into color, proving it to be one of the most fascinating interdisciplinary research fields in contemporary science.

Color space --- Machine learning --- Contrast enhancement --- Colorization --- Color perception --- Night vision --- Color consistency.

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Active technological development has fuelled rapid growth in the number of Unmanned Aerial Vehicle (UAV) platforms being deployed around the globe. Novel UAV platforms, UAV-based sensors, robotic sensing and imaging techniques, the development of processing workflows, as well as the capacity of ultra-high temporal and spatial resolution data, provide both opportunities and challenges that will allow engineers and scientists to address novel and important scientific questions in UAV and sensor design, remote sensing and environmental monitoring.This work features papers on UAV sensor design, improvements in UAV sensor technology, obstacle detection, methods for measuring optical flow, target tracking, gimbal influence on the stability of UAV images, augmented reality tools, segmentation in digital surface models for 3D reconstruction, detection, location and grasping objects, multi-target localization, vision-based tracking in cooperative multi-UAV systems, noise suppression techniques , rectification for oblique images, two-UAV communication system, fuzzy-based hybrid control algorithms, pedestrian detection and tracking as well as a range of atmospheric, geological, , agricultural, ecological, reef, wildlife, building and construction, coastal area coverage, search and rescue (SAR), water plume temperature measurements, aeromagnetic and archaeological surveys applications

UAV-Based Remote Sensing --- drones --- aerial robotics --- environmental science --- remote sensing --- UAV images --- augmented reality tools --- segmentation in digital surface models for 3D reconstruction --- detection --- location and grasping objects --- multi-target localization --- vision-based tracking in cooperative multi-UAV systems --- noise suppression techniques --- rectification for oblique images --- two-UAV communication system --- fuzzy-based hybrid control algorithms --- pedestrian detection and tracking as well as a range of atmospheric --- geological --- agricultural --- ecological --- reef --- wildlife --- building and construction --- coastal area coverage --- search and rescue (SAR) --- water plume temperature measurements --- aeromagnetic and archaeological surveys

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The rapid development and growth of unmanned aerial vehicles (UAVs) as a remote sensing platform, as well as advances in the miniaturization of instrumentation and data systems, have resulted in an increasing uptake of this technology in the environmental and remote sensing science communities.Although tough regulations across the globe may still limit the broader use of UAVs, their use in precision agriculture, ecology, atmospheric research, disaster response biosecurity, ecological and reef monitoring, forestry, fire monitoring, quick response measurements for emergency disaster, Earth science research, volcanic gas sampling, monitoring of gas pipelines, mining plumes, humanitarian observations and biological/chemo-sensing tasks continues to increase.This book provides a forum for high-quality peer-reviewed papers that broaden the awareness and understanding of UAV developments, applications of UAVs for remote sensing, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities.The book covers the following topics:• improvements in UAV sensor technology;• UAV sensor design;• descriptions of processing algorithms applied to UAV-based imagery datasets;• the use of optical, multi-spectral, hyperspectral, laser, and optical SAR technologies onboard UAVs;• Artificial intelligence and data mining-based strategies from UAV-acquired datasets;• UAV onboard data storage, transmission, and retrieval;• multiple platform UAV, AUV, and ground robot networks;• UAV sensor applications including: precision agriculture, construction, mining, pest detection, forestry, wildlife tracking, atmosphere, wildfire monitoring and prevention, reef monitoring, Earth science research pollution monitoring, micro-climates, land use precision agriculture, ecology, atmospheric research, quick response measurements for emergency disaster.

UAV-Based Remote Sensing --- drones --- aerial robotics --- environmental science --- remote sensing --- UAV images --- augmented reality tools --- segmentation in digital surface models for 3D reconstruction --- detection --- location and grasping objects --- multi-target localization --- vision-based tracking in cooperative multi-UAV systems --- noise suppression techniques --- rectification for oblique images --- two-UAV communication system --- fuzzy-based hybrid control algorithms --- pedestrian detection and tracking as well as a range of atmospheric --- geological --- agricultural --- ecological --- reef --- wildlife --- building and construction --- coastal area coverage --- search and rescue (SAR) --- water plume temperature measurements --- aeromagnetic and archaeological surveys