Limits and Challenges of Optical Very‐High‐Spatial‐Resolution Satellite Remote Sensing for Urban Applications

Yang, Xiaojun (editor) / Gamba, Paolo (author) / Dell'Acqua, Fabio (author) / Stasolla, Mattia (author) / Trianni, Giovanna (author) / Lisini, Gianni (author)

Urban Remote Sensing ; 35-48

2011-04-15

14 pages

9780470979563 , 9780470749586

https://doi.org/10.1002/9780470979563.ch3

Article/Chapter (Book)

Electronic Resource

English

major challenges, and limits with very‐high‐spatial‐resolution (VHR) optical remote sensor data ‐ monitoring human settlements , segmentation algorithm ‐ exploited, and the watershed segmentation algorithm , multiple limits and challenges of VHR optical imagery ‐ for urban‐related applications , adding time factor, VHR and change detection ‐ in multitemporal urban remote sensing using VHR optical data , geometrical problems, issues peculiar to VHR images ‐ and geometric accuracy , building damage assessment ‐ built‐up object detection for building inventories, cadastral map updates , VHR images in urban areas ‐ and environmental monitoring , optical very‐high‐spatial‐resolution satellite remote sensing, limits and challenges ‐ for urban applications , per‐object, spatially‐aware and context‐sensitive approaches ‐ required and relying on remotely sensed data , geometrical and spectral inconsistencies of single pixels ‐ stress on urban mapping, using optical VHR sensor, more than one pixel at a time