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Content Provider | IEEE Xplore Digital Library |
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Author | Tilton, J.C. de Colstoun, E.B. Wolfe, R.E. Bin Tan Chengquan Huang |
Copyright Year | 2012 |
Description | Author affiliation: University of Maryland, USA (Chengquan Huang) || NASA GSFC, USA (Tilton, J.C.; de Colstoun, E.B.; Wolfe, R.E.) || Earth Resources Technology, Inc., USA (Bin Tan) |
Abstract | We are developing an approach for generating ground reference data in support of a project to produce a 30m impervious cover data set of the entire Earth for the years 2000 and 2010 based on the Landsat Global Land Survey (GLS) data set. Since sufficient ground reference data for training and validation is not available from ground surveys, we are developing an interactive tool, called HSegLearn, to facilitate the photo-interpretation of 1 to 2 m spatial resolution imagery data, which we will use to generate the needed ground reference data at 30m. Through the submission of selected region objects and positive or negative examples of impervious surfaces, HSegLearn enables an analyst to automatically select groups of spectrally similar objects from a hierarchical set of image segmentations produced by the HSeg image segmentation program at an appropriate level of segmentation detail, and label these region objects as either impervious or non-impervious. |
Starting Page | 5993 |
Ending Page | 5996 |
File Size | 1058354 |
Page Count | 4 |
File Format | |
ISBN | 9781467311601 |
ISSN | 21536996 |
e-ISBN | 9781467311595 |
e-ISBN | 9781467311588 |
DOI | 10.1109/IGARSS.2012.6352242 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-22 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image segmentation Spatial resolution Labeling Earth Remote sensing Satellites Urban Areas Image Processing Image Segmentation Geography |
Content Type | Text |
Resource Type | Article |
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