Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6352242 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
geophysical image processing,geophysical techniques,image segmentation,AD 2000,AD 2010,Earth cover data set,GLS data set,HSeg image segmentation program,HSegLearn tool,Landsat Global Land Survey,global impervious surface survey,ground reference data,interactive tool,segmentation detail level,spatial resolution imagery data,Geography,Image Processing,Image Segmentation,Urban Areas | Reference data (financial markets),Impervious surface,Computer vision,Segmentation,Computer science,Remote sensing,Data acquisition,Image processing,Image segmentation,Graphical user interface,Artificial intelligence,Image resolution | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 1 |
PageRank | References | Authors |
0.36 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James C. Tilton | 1 | 489 | 34.22 |
| Eric Brown de Colstoun | 2 | 4 | 0.84 |
| Robert E. Wolfe | 3 | 371 | 86.53 |
| Bin Tan | 4 | 208 | 39.58 |
| Chengquan Huang | 5 | 226 | 36.44 |
| de Colstoun, E.B. | 6 | 1 | 0.36 |