Optics and Precision Engineering, Volume. 31, Issue 2, 234(2023)

Parallel path and strong attention mechanism for building segmentation in remote sensing images

Jianhua YANG1...2,3,4, Hao ZHANG1,2,3,4, and Haiyang HUA1,23,* |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Opto-Electronic Information Processing,Chinese Academy of Sciences, Shenyang006, China
  • 2Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang110016, China
  • 3Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang110169, China
  • 4University of Chinese Academy of Sciences, Beijing10009, China
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    References(24)

    [1] J L DU, D CHEN, R S WANG et al. A novel framework for 2.5-D building contouring from large-scale residential scenes. IEEE Transactions on Geoscience and Remote Sensing, 57, 4121-4145(2019).

    [2] Z B LI, W Z SHI, Q M WANG et al. Extracting man-made objects from high spatial resolution remote sensing images via fast level set evolutions. IEEE Transactions on Geoscience and Remote Sensing, 53, 883-899(2015).

    [3] N L GAVANKAR, S K GHOSH. Automatic building footprint extraction from high-resolution satellite image using mathematical morphology. European Journal of Remote Sensing, 51, 182-193(2018).

    [4] [4] 4孙伟, 孙鹏翔, 黄恒, 等. 基于滑动窗口的影像中建筑物特征提取方法研究[J]. 传感技术学报, 2021, 34(8): 1096-1101. doi: 10.3969/j.issn.1004-1699.2021.08.014SUNW, SUNP X, HUANGH, et al. Research on building feature extraction method in image based on sliding window[J]. Chinese Journal of Sensors and Actuators, 2021, 34(8): 1096-1101.(in Chinese). doi: 10.3969/j.issn.1004-1699.2021.08.014

    [5] G SOHN, I DOWMAN. Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction. ISPRS Journal of Photogrammetry and Remote Sensing, 62, 43-63(2007).

    [6] [6] 6徐胜军, 欧阳朴衍, 郭学源, 等. 多尺度特征融合空洞卷积 ResNet遥感图像建筑物分割[J]. 光学 精密工程, 2020, 28(7): 1588-1599. doi: 10.37188/ope.20202807.1588XUSH J, OUYANGP Y, GUOX Y, et al. Building segmentation in remote sensing image based on multiscale-feature fusion dilated convolution resnet[J]. Opt. Precision Eng., 2020, 28(7): 1588-1599.(in Chinese). doi: 10.37188/ope.20202807.1588

    [7] [7] 7朱祺琪, 李真, 张亚男, 等. 全局局部细节感知条件随机场的高分辨率遥感影像建筑物提取[J]. 遥感学报, 2021, 25(7): 1422-1433.ZHUQ Q, LIZH, ZHANGY N, et al. Global-Local-Aware conditional random fields based building extraction for high spatial resolution remote sensing images[J]. National Remote Sensing Bulletin, 2021, 25(7): 1422-1433.(in Chinese)

    [8] G M WU, X W SHAO, Z L GUO et al. Automatic building segmentation of aerial imagery using multi-constraint fully convolutional networks. Remote Sensing, 10, 407(2018).

    [9] S P JI, S Q WEI, M LU. Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set. IEEE Transactions on Geoscience and Remote Sensing, 57, 574-586(2019).

    [10] P H LIU, X P LIU, M X LIU et al. Building footprint extraction from high-resolution images via spatial residual inception convolutional neural network. Remote Sensing, 11, 830(2019).

    [11] W C KANG, Y M XIANG, F WANG et al. EU-net: an efficient fully convolutional network for building extraction from optical remote sensing images. Remote Sensing, 11, 2813(2019).

    [12] K SUN, B XIAO, D LIU et al. Deep high-resolution representation learning for human pose estimation, 5686-5696(2020).

    [13] V BADRINARAYANAN, A KENDALL, R CIPOLLA. SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 2481-2495(2017).

    [14] S HONG, B HAN. Learning deconvolution network for semantic segmentation, 1520-1528(2016).

    [15] F I DIAKOGIANNIS, F WALDNER, P CACCETTA et al. ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data. ISPRS Journal of Photogrammetry and Remote Sensing, 162, 94-114(2020).

    [16] K M HE, X Y ZHANG, S Q REN et al. Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015).

    [17] H S ZHAO, J P SHI, X J QI et al. Pyramid scene parsing network, 6230-6239(2017).

    [18] K M HE, X Y ZHANG, S Q REN et al. Deep residual learning for image recognition, 770-778(2016).

    [19] H F LI, K J QIU, L CHEN et al. SCAttNet: semantic segmentation network with spatial and channel attention mechanism for high-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 18, 905-909(2021).

    [20] V MNIH. Machine Learning for Aerial Image Labeling(2013).

    [21] LIU, LUO, HUANG, et al, LIU, LUO, HUANG, et al, LIU, LUO, HUANG, et al. DE-net: deep encoding network for building extraction from high-resolution remote sensing imagery. Remote Sensing, 11, 2380(2019).

    [22] H N GUO, X SU, S K TANG et al. Scale-robust deep-supervision network for mapping building footprints from high-resolution remote sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 10091-10100(2021).

    [23] W J DENG, Q SHI, J LI. Attention-gate-based encoder-decoder network for automatical building extraction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2611-2620(2021).

    [24] Z Y CHEN, D L LI, W T FAN et al. Self-attention in reconstruction bias U-net for semantic segmentation of building rooftops in optical remote sensing images. Remote Sensing, 13, 2524(2021).

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    Paper Information

    Category: Information Sciences

    Received: Mar. 1, 2022

    Accepted: --

    Published Online: Feb. 9, 2023

    The Author Email: HUA Haiyang (c3i11@sia.cn)

    DOI:10.37188/OPE.20233102.0234

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