REGION OF INTEREST EXTRACTION BASED ON CO-SALIENCY ANALYSIS AND FEEDBACK STRATEGY FOR REMOTE SENSING IMAGES

被引:0
|
作者
Zhang, Libao [1 ,2 ]
Liu, Yanan [1 ,2 ]
机构
[1] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Object extraction; region of interest; inter-saliency; intra-saliency; feedback strategy;
D O I
暂无
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
Saliency analysis has been revealed an effective method to extract the region of interest (ROI) in remote sensing images. However, most existing saliency detection methods mainly focus on extracting the ROIs from a single image, which usually are not able to generate satisfactory results because of the background interference of remote sensing images. The employment of co-saliency detection which focuses on detecting common salient objects in a set of images can provide an effective solution to this issue. In this paper, we propose a novel ROI extraction model based on co-saliency analysis and feedback strategy for remote sensing images. We combine the bottom-up measures including consistency, central prior and contrast on spectral and texture feature of multiple images together, with subsequent adjusting operation by feedback strategy to enhance the common salient objects. Experiment results reveal that our model outperforms seven state-of-the-art models.
引用
收藏
页码:41 / 45
页数:5
相关论文
共 50 条
  • [1] Region of interest extraction based on multiscale visual saliency analysis for remote sensing images
    Zhang, Yinggang
    Zhang, Libao
    Yu, Xianchuan
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [2] Region of Interest Extraction Based on Saliency Detection and Contrast Analysis for Remote Sensing Images
    Lv, Jing
    Zhang, Libao
    Wang, Shuang
    [J]. IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXII, 2016, 10004
  • [3] REGION OF INTEREST EXTRACTION BASED ON BAYESIAN JOINT SALIENCY DETECTION FOR REMOTE SENSING IMAGES
    Zhu, Wanning
    Zhang, Libao
    Zhang, Yinggang
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 2183 - 2186
  • [4] Region of interest extraction via common salient feature analysis and feedback reinforcement strategy for remote sensing images
    Zhang, Libao
    Sun, Qiaoyue
    Zhang, Jue
    [J]. GISCIENCE & REMOTE SENSING, 2018, 55 (05) : 745 - 762
  • [5] Region-of-Interest Extraction Based on Saliency Analysis of Co-Occurrence Histogram in High Spatial Resolution Remote Sensing Images
    Zhang, Libao
    Li, Aoxue
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (05) : 2111 - 2124
  • [6] Change Detection for High Resolution Remote Sensing Image Based on Co-saliency Strategy
    Guo, Qingle
    Zhang, Junping
    [J]. 2019 10TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP), 2019,
  • [7] Region of interest extraction in remote sensing images by saliency analysis with the normal directional lifting wavelet transform
    Zhang, Libao
    Chen, Jie
    Qiu, Bingchang
    [J]. NEUROCOMPUTING, 2016, 179 : 186 - 201
  • [8] Region of Interest Detection Based on Visual Saliency Analysis and Iteratively Clustering for Remote Sensing Images
    Sun, Yang
    Wang, Shuang
    Zhang, Libao
    [J]. AUTOMATED VISUAL INSPECTION AND MACHINE VISION III, 2019, 11061
  • [9] Region-of-interest extraction based on spectrum saliency analysis and coherence-enhancing diffusion model in remote sensing images
    Zhang, Libao
    Wang, Yue
    Li, Xuewei
    Wang, Shuang
    [J]. NEUROCOMPUTING, 2016, 207 : 630 - 644
  • [10] VISUAL SALIENCY ANALYSIS FOR COMMON REGION OF INTEREST DETECTION IN MULTIPLE REMOTE SENSING IMAGES
    Zhang, Libao
    Sun, Qiaoyue
    Sun, Yang
    [J]. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 2316 - 2320