High spatial resolution remote sensing : data, analysis, and applications /
edited by Yuhong He and Qihao Weng.
- First edition.
- 1 online resource (405 pages) : 181 illustrations.
- Imaging science .
- Imaging science. .
section I Data Acquisition and Preprocessing / chapter 1 High-Resolution UAS Imagery in Agricultural Research Concepts, Issues, and Research Directions / chapter 2 Building a UAV-Hyperspectral System I -- UAV and Sensor Considerations / chapter 3 Building a UAV-Hyperspectral System II -- Hyperspectral Sensor Considerations and Data Preprocessing / chapter 4 LiDAR and Spectral Data Integration for Coastal Wetland Assessment / chapter 5 Multiview Image Matching for 3D Earth Surface Reconstruction / chapter 6 High-Resolution Radar Data Processing and Applications / section II Algorithms and Techniques / chapter 7 Structure from Motion Techniques for Estimating the Volume of Wood Chips / chapter 8 A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data / chapter 9 Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery / chapter 10 Segmentation Scale Selection in Geographic Object-Based Image Analysis / chapter 11 Computer Vision Methodologies for Automated Processing of Camera Trap Data -- A Technological Review / section III Case Studies and Applications / chapter 12 UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties / chapter 13 Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll / chapter 14 Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery / chapter 15 Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR -- Concepts, Methods, and a Case Study / chapter 16 Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas / chapter 17 Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan / Yuhong He -- Michael P. Bishop -- Cameron Proctor -- Cameron Proctor -- Kunwar K. Singh -- Chuiqing Zeng -- Joseph R. Buckley -- Yuhong He -- Travis L. Howell -- Xinqu Chen -- Jian Yang -- Xiuyuan Zhang -- Joshua Seltzer -- Yuhong He -- Bing Lu -- Alexander Tong -- Amy B. Mui -- Murray Richardson -- Xiangkun Qi -- Kin M. Ma.
High spatial remote sensing data have been often used as valuable sources of information throughout emergency management cycle. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the earthquake's damage of roads and buildings and make emergency plans for contact and evacuation. The book will discuss emerging high spatial resolution data sources, and detail novel techniques and applications for handling, retrieving, and making best use of high spatial resolution remote sensing data.
9780429470196
Environmental sciences--Remote sensing.
Optical radar.
Remote sensing.
TECHNOLOGY & ENGINEERING / Mechanical.
TECHNOLOGY & ENGINEERING / Imaging Systems.
G70.4
621.36/78
section I Data Acquisition and Preprocessing / chapter 1 High-Resolution UAS Imagery in Agricultural Research Concepts, Issues, and Research Directions / chapter 2 Building a UAV-Hyperspectral System I -- UAV and Sensor Considerations / chapter 3 Building a UAV-Hyperspectral System II -- Hyperspectral Sensor Considerations and Data Preprocessing / chapter 4 LiDAR and Spectral Data Integration for Coastal Wetland Assessment / chapter 5 Multiview Image Matching for 3D Earth Surface Reconstruction / chapter 6 High-Resolution Radar Data Processing and Applications / section II Algorithms and Techniques / chapter 7 Structure from Motion Techniques for Estimating the Volume of Wood Chips / chapter 8 A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data / chapter 9 Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery / chapter 10 Segmentation Scale Selection in Geographic Object-Based Image Analysis / chapter 11 Computer Vision Methodologies for Automated Processing of Camera Trap Data -- A Technological Review / section III Case Studies and Applications / chapter 12 UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties / chapter 13 Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll / chapter 14 Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery / chapter 15 Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR -- Concepts, Methods, and a Case Study / chapter 16 Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas / chapter 17 Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan / Yuhong He -- Michael P. Bishop -- Cameron Proctor -- Cameron Proctor -- Kunwar K. Singh -- Chuiqing Zeng -- Joseph R. Buckley -- Yuhong He -- Travis L. Howell -- Xinqu Chen -- Jian Yang -- Xiuyuan Zhang -- Joshua Seltzer -- Yuhong He -- Bing Lu -- Alexander Tong -- Amy B. Mui -- Murray Richardson -- Xiangkun Qi -- Kin M. Ma.
High spatial remote sensing data have been often used as valuable sources of information throughout emergency management cycle. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the earthquake's damage of roads and buildings and make emergency plans for contact and evacuation. The book will discuss emerging high spatial resolution data sources, and detail novel techniques and applications for handling, retrieving, and making best use of high spatial resolution remote sensing data.
9780429470196
Environmental sciences--Remote sensing.
Optical radar.
Remote sensing.
TECHNOLOGY & ENGINEERING / Mechanical.
TECHNOLOGY & ENGINEERING / Imaging Systems.
G70.4
621.36/78