JOURNAL ARTICLE

Shadow removal in remote sensing images using features sample matting

Abstract

Remote sensing images often suffer from shadow duo to partially or totally occludes direct light from an illumination source. In this paper, we propose a novel shadow removal algorithm. The trimap could be generated automatically by morphological subtraction method according to the result of shadow detection. Then, the weighted color and texture sample selection image matting method is applied in order to obtain the accurate shadow coefficient. The experiment results are illustrated with practical examples and verify the efficacy of this algorithm.

Keywords:
Shadow (psychology) Artificial intelligence Computer vision Computer science Background subtraction Sample (material) Image (mathematics) Shadow mask Pattern recognition (psychology) Computer graphics (images) Pixel

Metrics

4
Cited By
0.00
FWCI (Field Weighted Citation Impact)
12
Refs
0.07
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Shadow Removal from Digital Images using Multi-channel Binarization and Shadow Matting

Saiqa KhanZainab PiraniTaniya FansupkarUmama Maghrabi

Journal:   2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Year: 2019 Pages: 723-728
JOURNAL ARTICLE

Shadow Removal of Hyperspectral Remote Sensing Images With Multiexposure Fusion

Puhong DuanShangsong HuXudong KangShutao Li

Journal:   IEEE Transactions on Geoscience and Remote Sensing Year: 2022 Vol: 60 Pages: 1-11
JOURNAL ARTICLE

Optimized Solution for Object based Segmentation and Shadow Removal using Remote Sensing Images

V. Kovendan

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2020
JOURNAL ARTICLE

Optimized Solution for Object based Segmentation and Shadow Removal using Remote Sensing Images

V. Kovendan

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2020
© 2026 ScienceGate Book Chapters — All rights reserved.