JOURNAL ARTICLE

Region Driven Remote Sensing Image Captioning

S Chandeesh KumarM. HemalathaShivangi NarayanP Nandhini

Year: 2019 Journal:   Procedia Computer Science Vol: 165 Pages: 32-40   Publisher: Elsevier BV

Abstract

Remote sensing Image Captioning is a special case of Image Captioning which solves the difficulties in processing the remote sensing images. Issues may arise due to translation, rotation and viewpoint of images and maintaining semantic consistency in the generated captions. This method of describing a remote sensing scene in the form of sentences plays an important role in a number of fields, such as image retrieval, scene classification and as a vision companion. A Domain-driven approach is developed, in which the domain probabilities are used for captioning the remote sensing images. This approach concentrates on the domain- based information available in the images. A new dataset, called UAVIC dataset is created for images captured using Unmanned Aerial Vehicle (UAV), which covers wide range of land having multiple terrains and gives a better view of the landscapes. The proposed domain driven approach is applied to UCM and UAVIC dataset and the quality of resulting captions are evaluated using BLEU scores.

Keywords:
Closed captioning Computer science Domain (mathematical analysis) Artificial intelligence Computer vision Translation (biology) Image (mathematics) Rotation (mathematics) Consistency (knowledge bases) Remote sensing Range (aeronautics)

Metrics

15
Cited By
0.32
FWCI (Field Weighted Citation Impact)
19
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Multimodal Machine Learning Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Domain Adaptation and Few-Shot Learning
Physical Sciences →  Computer Science →  Artificial Intelligence

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