By Xiaojun Yang, Jonathan Li
Advances in Mapping from distant Sensor Imagery: innovations and Applications stories many of the most up-to-date advancements in distant sensing and data extraction innovations acceptable to topographic and thematic mapping. supplying an interdisciplinary point of view, prime specialists from all over the world have contributed chapters reading state of the art suggestions in addition to well-known methods.
The publication covers a huge diversity of issues together with photogrammetric mapping and LiDAR distant sensing for producing prime quality topographic items, international electronic elevation versions, present equipment for coastline mapping, and the identity and type of residential constructions. individuals additionally show off state of the art advancements for environmental and ecological mapping, together with overview of urbanization styles, mapping crops conceal, tracking invasive species, and mapping marine oil spills—crucial for tracking this important environmental hazard.
The authors exemplify the knowledge offered during this textual content with case reports from world wide. Examples include:
- Envisat/ERS-2 pictures used to generate electronic elevation versions over northern Alaska
- In situ radiometric observations and MERIS photos hired to retrieve chlorophyll a focus in inland waters in Australia
- ERS-1/2 SAR pictures applied to map spatiotemporal deformation within the southwestern United States
Aerospace sensors and comparable details extraction ideas that help numerous mapping purposes have lately garnered extra consciousness as a result advances in distant sensing theories and applied sciences. This e-book brings jointly best researchers within the box, supplying a state of the art evaluate of a few of the most recent developments in distant sensing and mapping technologies.
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Extra info for Advances in Mapping from Remote Sensor Imagery: Techniques and Applications
2010. Automatic detection of residential buildings using LiDAR data and multispectral imagery. ISPRS Journal of Photogrammetry & Remote Sensing 65: 457–467. Baltsavias, E. 1999. A comparison between photogrammetry and laser scanning. ISPRS Journal of Photogrammetry & Remote Sensing 54(1): 83–94. Brenner, C. 2005. Building reconstruction from images and laser scanning. International Journal of Applied Earth Observation and Geo-information 6(3–4): 187–198. Brown, D. 1966. Decentric distortion of lenses.
Feature-based registration of terrestrial laser scans with minimum overlap using photogrammetric data. ETRI Journal 33(4): 517–527. , J. Trinder, S. Clode, and K. Kubik. 2005. Using the Dempster Shafer Method for the fusion of LiDAR data and multi-spectral images for building detection. Information Fusion 6(4): 283–300. Schwarz, K. 1995. Integrated airborne navigation systems for photogrammetry. Photogrammetric Week 1995 Wichmann Verlag: 139–154. , A. Habib, M. Ghanma, C. Kim, and E. Kim. 2007.
The airborne LiDAR systems collect voluminous irregularly spaced, three-dimensional (3D) point measurements of terrain (ground) and nonterrain (nonground) objects scanned by the laser beneath the aircraft. On the one hand, the sheer volume of point measurements provides researchers with unprecedented information for studying Earth surface processes. On the other hand, voluminous data raise serious challenges for users to extract desired information from LiDAR data sets for specific applications.
Advances in Mapping from Remote Sensor Imagery: Techniques and Applications by Xiaojun Yang, Jonathan Li