RRNet : Relational Reasoning Network with Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
View graph of relations

Author(s)

  • Runmin Cong
  • Yumo Zhang
  • Leyuan Fang
  • Jun Li
  • Yao Zhao

Detail(s)

Original languageEnglish
Article number5613311
Number of pages11
Journal / PublicationIEEE Transactions on Geoscience and Remote Sensing
Volume60
Online published28 Oct 2021
Publication statusPublished - 2022

Abstract

Salient object detection (SOD) for optical remote sensing images (RSIs) aims at locating and extracting visually distinctive objects/regions from the optical RSIs. Since some saliency models were proposed to solve the intrinsic problem of optical RSIs (such as complex background and scale-variant objects), the accuracy and completeness are still unsatisfactory. To this end, we propose a relational reasoning network (RRNet) with parallel multiscale attention (PMA) for SOD in optical RSIs in this article. The relational reasoning module that integrates the spatial and the channel dimensions is designed to infer the semantic relationship by utilizing high-level encoder features, thereby promoting the generation of more complete detection results. The PMA module is proposed to effectively restore the detailed information and address the scale variation of salient objects by using the low-level features refined by multiscale attention. Extensive experiments on two datasets demonstrate that our proposed RRNet outperforms the existing state-of-the-art SOD competitors both qualitatively and quantitatively ( https://rmcong.github.io/proj_RRNet.html ).

Research Area(s)

  • Cognition, Feature extraction, Optical distortion, Optical fiber networks, Optical imaging, optical remote sensing images, Optical sensors, parallel multiscale attention, relational reasoning, Salient object detection, Semantics

Citation Format(s)

RRNet : Relational Reasoning Network with Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images. / Cong, Runmin; Zhang, Yumo; Fang, Leyuan; Li, Jun; Zhao, Yao; Kwong, Sam.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 5613311, 2022.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review