Evaluation of Shadow Reconstruction Algorithm for Very High Resolution Satellite Imagery
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Evaluation of Shadow Reconstruction Algorithm for Very High Resolution Satellite Imagery |
| 2. | Creator | Author's name, affiliation, country | Panchal Anjali Jayant; Department of Electronics and Telecommunication Engineering, Konkan Gyanpeeth College of Engineering, Karjat, Maharashtra, India |
| 2. | Creator | Author's name, affiliation, country | Rizvi Imdad A.; Department of Electronics and Telecommunication Engineering, Terna Engineering College, Navi Mumbai, Maharashtra, India |
| 2. | Creator | Author's name, affiliation, country | Kadam M.M.; Department of Electronics and Telecommunication Engineering, Terna Engineering College, Navi Mumbai, Maharashtra, India |
| 2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.38) |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Cast Shadow; Self-Shadow; Shadow Detection; Sensitivity; Specificity; VHR Satellite Images |
| 3. | Subject | Subject classification | Shadow Reconstruction |
| 4. | Description | Abstract |
The Very High Resolution images have opened a new era for remote sensing applications such as object detection, classification, object mapping and change detection. However, the effects of shadow in these images are remarkable. The objective of this paper is to propose algorithm for shadow reconstruction. The primer stage, shadow detection and classification are carried out which separates shadow from rest of environment. For doing reconstruction the preprocessing is done by morphological operations which extract image components such as region and shape. It is followed by border creation and finally the reconstructed of an original image is accomplished border interpolation. The reconstruction accuracy is calculated by using Kappa Coefficient. Here Experimental results are obtained on three VHR images representing different shadow conditions. The performance analysis is carried out which shows better sensitivity and specificity. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2016-02-09 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-492 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
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