Name
Abstract | ||
|---|---|---|
The aim of this paper is to present a simple and robust morphology-based approach to detect clouds in remote sensing images based on a single band. The algorithm generates for every pixel, a possibility value of not being a cloud pixel and thus provides an additional advantage over hard classification of pixels for further processing of these images. We have validated the performance of our algorithm on Moderate Resolution Imaging Spectroradiometer (MODIS) images and established its superiority over the results obtained by thresholding techniques in presence of noise such as clouds in presence of ice land cover. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729011 | 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
Keywords | Field | DocType |
Pattern Spectrum,Granulometric Map,Morphological Entropy,Mathematical Morphology | Cloud detection,Computer vision,Moderate-resolution imaging spectroradiometer,Algorithm design,Computer science,Remote sensing,Robustness (computer science),Artificial intelligence,Pixel,Thresholding,Land cover,Cloud computing | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-5090-3333-1 | 1 |
PageRank | References | Authors |
0.35 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sravan Danda | 1 | 3 | 4.10 |
| Aditya Challa | 2 | 3 | 4.10 |
| B. S. Daya Sagar | 3 | 26 | 9.32 |