Object-Oriented Shadow Detection and Removal from Satellite Images
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 2)Publication Date: 2017-02-05
Authors : Silpa V S;
Page : 1108-1111
Keywords : object-oriented; relative radiometric correction; shadow detection; shadow removal; svm classification;
Abstract
I introduce an object oriented shadow detection and removal method followed by an svm classification. In this technique, during image segmentation, shadow features are considered, suspected shadows are extracted with thresholding. Then, some dark objects which could be mistaken for shadows are ruled. Innerouter outline profile line (IOOPL) matching is used for shadow removal. The inner and outer outline lines of the boundary of shadows are taken as the IOOPLs. Shadow removal is performed using either Relative Radiometric Correction or polynomial fitting. Finally SVM classification is performed on input samples for improved accuracy.
Other Latest Articles
- Vehicle Number Plate Recognition System for Theft Detection
- Verrucous Carcinoma (Ackerman`S Tumor) of the Tongue ? Case Report
- The Impact of Sensory Brand?ng on Consumer Behav?or
- Impact of Land Use Changes to Environmental Damage in Bandung Basin
- Understanding Obstacles to Change Towards Continuous Improvement Programs in Manufacturing Sector
Last modified: 2021-06-30 17:48:27