Download e-book for iPad: Advances in Mapping from Remote Sensor Imagery: Techniques by Xiaojun Yang, Jonathan Li

By Xiaojun Yang, Jonathan Li

ISBN-10: 1439874581

ISBN-13: 9781439874585

Advances in Mapping from distant Sensor Imagery: ideas and Applications stories a number of the most modern advancements in distant sensing and data extraction concepts acceptable to topographic and thematic mapping. supplying an interdisciplinary standpoint, best specialists from world wide have contributed chapters studying state of the art recommendations in addition to popular methods.

The ebook covers a large diversity of themes together with photogrammetric mapping and LiDAR distant sensing for producing top of the range topographic items, international electronic elevation types, present tools for coastline mapping, and the id and category of residential constructions. individuals additionally show off state-of-the-art advancements for environmental and ecological mapping, together with evaluate of urbanization styles, mapping plants hide, tracking invasive species, and mapping marine oil spills—crucial for tracking this important environmental hazard.

The authors exemplify the data provided during this textual content with case experiences from all over the world. Examples include:

  • Envisat/ERS-2 photographs used to generate electronic elevation types over northern Alaska
  • In situ radiometric observations and MERIS pictures hired to retrieve chlorophyll a focus in inland waters in Australia
  • ERS-1/2 SAR photos applied to map spatiotemporal deformation within the southwestern United States

Aerospace sensors and similar info extraction strategies that aid a variety of mapping functions have lately garnered extra consciousness a result of advances in distant sensing theories and applied sciences. This publication brings jointly best researchers within the box, supplying a state of the art overview of a few of the newest developments in distant sensing and mapping technologies.

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Additional resources for Advances in Mapping from Remote Sensor Imagery: Techniques and Applications

Example text

The choice of the sensor modeling should be based on the desired accuracy, available control, and accessibility to the system’s internal and external characteristics. With the increased need for more automation in the mapping process, higher order primitives that could be automatically extracted from the imagery should be incorporated in the photogrammetric bundle adjustment. In this regard, having flexible models that can deal with various imaging modalities and primitives that can be easily included in existing bundle adjustment procedures would be quite advantageous.

Zlatanova, and V. Coors, 29–45. Berlin, Germany: Springer. , S. Shin, C. Kim, K. Bang, E. Kim, and D. Lee. 2007a. Comprehensive analysis of sensor modeling alternatives for high resolution imaging satellites. Photogrammetric Engineering and Remote Sensing 73(11): 1241–125. , R. Zhai, and C. Kim. 2010. Generation of complex polyhedral building models by integrating stereo-aerial imagery and LiDAR data. Photogrammetric Engineering and Remote Sensing 76: 609–623. , T. Yamakawa, and C. Fraser. 2002.

A) Perspective image. (b) Corresponding LiDAR data. (c) Orthophoto with the double mapping problems. (d) True orthophoto after occlusion detection. (e) True orthophoto after occlusion filling. (f) True orthophoto with enhanced building boundaries. 11c). The double mapping problem is attributed to improper projection of the image space color information into occluded areas in the object space as a result of object space relief and the perspective image-generation process. , 2007b). 11d illustrate a portion of an orthophoto with the double mapping problem and the resulting true orthophoto after the visibility analysis and the differential rectification process, respectively.

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Advances in Mapping from Remote Sensor Imagery: Techniques and Applications by Xiaojun Yang, Jonathan Li


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