浏览全部资源
扫码关注微信
1.吉林农业大学 信息技术学院,吉林 长春 130118
2.吉林农业大学 工程技术学院,吉林 长春 130118
3.吉林大学 工程仿生教育部重点实验室,吉林 长春 130025
[ "刘媛媛(1980-),女,吉林长春人,博士,讲师,硕士生导师,美国俄克拉荷马州立大学访问学者,主要从事农业信息化图像和视频信号处理方面的研究。Email:liuyuanyuan1980@126.com" ]
[ "王跃勇(1979-),男,吉林长春人,博士,副教授,硕士生导师,德国德累斯顿工业大学访问学者,主要从事智能系统、生物环境与能源工程的研究。Email:yueyong10@ mails.jlau.edu.cn" ]
收稿日期:2021-11-24,
修回日期:2021-12-14,
纸质出版日期:2022-05-10
移动端阅览
刘媛媛,周小康,王跃勇等.改进U-Net模型的保护性耕作田间秸秆覆盖检测[J].光学精密工程,2022,30(09):1101-1112.
LIU Yuanyuan,ZHOU Xiaokang,WANG Yueyong,et al.Straw coverage detection of conservation tillage farmland based on improved U-Net model[J].Optics and Precision Engineering,2022,30(09):1101-1112.
刘媛媛,周小康,王跃勇等.改进U-Net模型的保护性耕作田间秸秆覆盖检测[J].光学精密工程,2022,30(09):1101-1112. DOI: 10.37188/OPE.20223009.1101.
LIU Yuanyuan,ZHOU Xiaokang,WANG Yueyong,et al.Straw coverage detection of conservation tillage farmland based on improved U-Net model[J].Optics and Precision Engineering,2022,30(09):1101-1112. DOI: 10.37188/OPE.20223009.1101.
为了适应保护性耕作秸秆还田监测的技术需求,提出了一种改进的U-Net语义分割算法对秸秆覆盖率进行检测。首先,提出一种新的卷积模块代替原始U-Net框架中的卷积模块;其次,改进Inception结构,引入条纹池化和高效空间金字塔空洞卷积模块,形成新的Gception结构;最后,在模块中引入注意力机制。利用无人机采集田间地表图像,将改进的U-Net模型应用于自标注田间秸秆图像分割,与U-Net,PSP-Net,Link-Net,Res-Net,DSRA-Unet和DE-GWO算法进行对比实验,得到的平均交并比为80.05%,平均像素精确度为91.20%,覆盖率平均误差为0.80%。实验结果表明,改进U-Net模型的分割结果优于对比算法,能够保证特征提取的有效性和全局特征的完备性,有效剔除树影以及田内其他干扰因素。该模型适用于含有农机和树影等干扰的田间复杂场景,在大尺度图像中亦可获得较好的分割效果,可为大面积秸秆覆盖率检测提供技术支持。
To meet the technical requirements of straw return monitoring in conservation tillage, an improved U-Net semantic segmentation algorithm was proposed to detect straw coverage rate. First, a novel convolution module was developed to replace the convolution module in the original U-Net framework; Second, the inception structure was improved, and stripe pooling and efficient spatial pyramid hollow convolution modules were introduced for the design of a new Gception structure. Finally, an attention mechanism was introduced into this module. The effectiveness and progressiveness of the optimized U-Net model were evaluated on farmland surface images collected by a drone, and comparative experiments were conducted with the U-Net, PSP-Net, Link-Net, Res-Net, DSRA-Unet, and DE-GWO algorithms, obtaining mean intersection over union of 80.05%, an average pixel accuracy of 91.20%, and an average coverage error of 0.80%. The experimental results demonstrate that the segmentation capability of the improved U-Net model was superior to those of the other algorithms, indicating the effectiveness of feature extraction and the integrity of global features, by effectively eliminating tree shadows and other interference factors over the farmland. These results prove that the proposed model achieves better segmentation not only in complex farmland scenes with agricultural machinery and tree shadow interference but also in large-scale images. Moreover, the model provides efficient algorithms for large-area straw coverage detection and other related image detection methods.
宫纯文 , 李建玉 , 李学彬 , 等 . 秸秆燃烧和沙尘对气溶胶光学特性的影响 [J]. 光学 精密工程 , 2015 , 23 ( 10 ): 2768 - 2777 . doi: 10.3788/ope.20152310.2768 http://dx.doi.org/10.3788/ope.20152310.2768
GONG CH W , LI J Y , LI X B , et al . Influence of straw burning and dust on aerosol optical properties [J]. Opt. Precision Eng. , 2015 , 23 ( 10 ): 2768 - 2777 . (in Chinese) . doi: 10.3788/ope.20152310.2768 http://dx.doi.org/10.3788/ope.20152310.2768
张俊雄 , 荀一 , 李伟 . 基于形态特征的玉米种子表面裂纹检测方法 [J]. 光学 精密工程 , 2007 , 15 ( 6 ): 951 - 956 . doi: 10.3321/j.issn:1004-924X.2007.06.025 http://dx.doi.org/10.3321/j.issn:1004-924X.2007.06.025
ZHANG J X , XUN Y , LI W . Detection of surface cracks of corn kernel based on morphology [J]. Opt. Precision Eng. , 2007 , 15 ( 6 ): 951 - 956 . (in Chinese) . doi: 10.3321/j.issn:1004-924X.2007.06.025 http://dx.doi.org/10.3321/j.issn:1004-924X.2007.06.025
刘继龙 , 任高奇 , 付强 , 等 . 秸秆还田下土壤水分时间稳定性与玉米穗质量的相关性 [J]. 农业机械学报 , 2019 , 50 ( 5 ): 320 - 326 . doi: 10.6041/j.issn.1000-1298.2019.05.036 http://dx.doi.org/10.6041/j.issn.1000-1298.2019.05.036
LIU J L , REN G Q , FU Q , et al . Relationship between temporal stability of soil water and corn ear weight under straw returning [J]. Transactions of the Chinese Society for Agricultural Machinery , 2019 , 50 ( 5 ): 320 - 326 . (in Chinese) . doi: 10.6041/j.issn.1000-1298.2019.05.036 http://dx.doi.org/10.6041/j.issn.1000-1298.2019.05.036
施印炎 , 罗伟文 , 胡志超 , 等 . 全量秸秆粉碎条铺与种带分型清秸装置设计与试验 [J]. 农业机械学报 , 2019 , 50 ( 4 ): 58 - 67 . doi: 10.6041/j.issn.1000-1298.2019.04.007 http://dx.doi.org/10.6041/j.issn.1000-1298.2019.04.007
SHI Y Y , LUO W W , HU ZH CH , et al . Design and test of equipment for straw crushing with strip-laying and seed-belt classification with cleaning under full straw mulching [J]. Transactions of the Chinese Society for Agricultural Machinery , 2019 , 50 ( 4 ): 58 - 67 . (in Chinese) . doi: 10.6041/j.issn.1000-1298.2019.04.007 http://dx.doi.org/10.6041/j.issn.1000-1298.2019.04.007
韩文霆 , 彭星硕 , 张立元 , 等 . 基于多时相无人机遥感植被指数的夏玉米产量估算 [J]. 农业机械学报 , 2020 , 51 ( 1 ): 148 - 155 . doi: 10.6041/j.issn.1000-1298.2020.01.016 http://dx.doi.org/10.6041/j.issn.1000-1298.2020.01.016
HAN W T , PENG X SH , ZHANG L Y , et al . Summer maize yield estimation based on vegetation index derived from multi-temporal UAV remote sensing [J]. Transactions of the Chinese Society for Agricultural Machinery , 2020 , 51 ( 1 ): 148 - 155 . (in Chinese) . doi: 10.6041/j.issn.1000-1298.2020.01.016 http://dx.doi.org/10.6041/j.issn.1000-1298.2020.01.016
陶惠林 , 徐良骥 , 冯海宽 , 等 . 基于无人机高光谱遥感数据的冬小麦产量估算 [J]. 农业机械学报 , 2020 , 51 ( 7 ): 146 - 155 . doi: 10.6041/j.issn.1000-1298.2020.07.017 http://dx.doi.org/10.6041/j.issn.1000-1298.2020.07.017
TAO H L , XU L J , FENG H K , et al . Winter wheat yield estimation based on UAV hyperspectral remote sensing data [J]. Transactions of the Chinese Society for Agricultural Machinery , 2020 , 51 ( 7 ): 146 - 155 . (in Chinese) . doi: 10.6041/j.issn.1000-1298.2020.07.017 http://dx.doi.org/10.6041/j.issn.1000-1298.2020.07.017
田慎重 , 张玉凤 , 边文范 , 等 . 深松和秸秆还田对旋耕农田土壤有机碳活性组分的影响 [J]. 农业工程学报 , 2020 , 36 ( 2 ): 185 - 192 . doi: 10.11975/j.issn.1002-6819.2020.02.022 http://dx.doi.org/10.11975/j.issn.1002-6819.2020.02.022
TIAN SH ZH , ZHANG Y F , BIAN W F , et al . Effects of subsoiling and straw return on soil labile organic carbon fractions in continuous rotary tillage cropland [J]. Transactions of the Chinese Society of Agricultural Engineering , 2020 , 36 ( 2 ): 185 - 192 . (in Chinese) . doi: 10.11975/j.issn.1002-6819.2020.02.022 http://dx.doi.org/10.11975/j.issn.1002-6819.2020.02.022
龚振平 , 杜婷婷 , 闫超 , 等 . 玉米秸秆还田及施磷量对黑土磷吸附与解吸特性的影响 [J]. 农业工程学报 , 2019 , 35 ( 22 ): 161 - 169 . doi: 10.11975/j.issn.1002-6819.2019.22.019 http://dx.doi.org/10.11975/j.issn.1002-6819.2019.22.019
GONG ZH P , DU T T , YAN CH , et al . Effects of corn straw returning and phosphorus application rate on phosphorus adsorption and desorption characteristics of black soil [J]. Transactions of the Chinese Society of Agricultural Engineering , 2019 , 35 ( 22 ): 161 - 169 . (in Chinese) . doi: 10.11975/j.issn.1002-6819.2019.22.019 http://dx.doi.org/10.11975/j.issn.1002-6819.2019.22.019
王丽丽 , 魏舒 , 赵博 , 等 . 一种田间秸秆覆盖率在线检测方法及系统 : CN107274426A [P]. 2017-10-20 . doi: 10.1016/s1872-2067(17)62876-6 http://dx.doi.org/10.1016/s1872-2067(17)62876-6
WANG L L , WEI SH , ZHAO B , et al . Field straw coverage rate on-line detection method and system : CN107274426A [P]. 2017-10-20 . (in Chinese) . doi: 10.1016/s1872-2067(17)62876-6 http://dx.doi.org/10.1016/s1872-2067(17)62876-6
王丽丽 , 徐岚俊 , 魏舒 , 等 . 基于Sauvola与Otsu算法的秸秆覆盖率图像检测方法 [J]. 农业工程 , 2017 , 7 ( 4 ): 29 - 35 . doi: 10.3969/j.issn.2095-1795.2017.04.009 http://dx.doi.org/10.3969/j.issn.2095-1795.2017.04.009
WANG L L , XU L J , WEI SH , et al . Straw coverage detection method based on sauvola and otsu segmentation algorithm [J]. Agricultural Engineering , 2017 , 7 ( 4 ): 29 - 35 . (in Chinese) . doi: 10.3969/j.issn.2095-1795.2017.04.009 http://dx.doi.org/10.3969/j.issn.2095-1795.2017.04.009
李洪文 , 李慧 , 何进 , 等 . 基于人工神经网络的田间秸秆覆盖率检测系统 [J]. 农业机械学报 , 2009 , 40 ( 6 ): 58 - 62 .
LI H W , LI H , HE J , et al . Measuring system for residue cover rate in field based on BP neural network [J]. Transactions of the Chinese Society for Agricultural Machinery , 2009 , 40 ( 6 ): 58 - 62 . (in Chinese)
刘媛媛 , 王跃勇 , 于海业 , 等 . 基于多阈值图像分割算法的秸秆覆盖率检测 [J]. 农业机械学报 , 2018 , 49 ( 12 ): 27 - 35, 55 . doi: 10.6041/j.issn.1000-1298.2018.12.004 http://dx.doi.org/10.6041/j.issn.1000-1298.2018.12.004
LIU Y Y , WANG Y Y , YU H Y , et al . Detection of straw coverage rate based on multi-threshold image segmentation algorithm [J]. Transactions of the Chinese Society for Agricultural Machinery , 2018 , 49 ( 12 ): 27 - 35, 55 . (in Chinese) . doi: 10.6041/j.issn.1000-1298.2018.12.004 http://dx.doi.org/10.6041/j.issn.1000-1298.2018.12.004
刘媛媛 , 张硕 , 于海业 , 等 . 基于语义分割的复杂场景下的秸秆检测 [J]. 光学 精密工程 , 2020 , 28 ( 1 ): 200 - 211 . doi: 10.3788/ope.20202801.0200 http://dx.doi.org/10.3788/ope.20202801.0200
LIU Y Y , ZHANG SH , YU H Y , et al . Straw detection algorithm based on semantic segmentation in complex farm scenarios [J]. Opt. Precision Eng. , 2020 , 28 ( 1 ): 200 - 211 . (in Chinese) . doi: 10.3788/ope.20202801.0200 http://dx.doi.org/10.3788/ope.20202801.0200
RONNEBERGER O , FISCHER P , BROX T . U-net: convolutional networks for biomedical image segmentation [C]. Medical Image Computing and Computer-Assisted Intervention-MICCAI , 2015 , 2015 : 234 - 241 . doi: 10.1007/978-3-319-24574-4_28 http://dx.doi.org/10.1007/978-3-319-24574-4_28
YU F , KOLTUN V . Multi-scale context aggregation by dilated convolutions [J]. CoRR , 2015 , abs/1511. 07122 . doi: 10.48550/arXiv.1511.07122 http://dx.doi.org/10.48550/arXiv.1511.07122
SZEGEDY C , LIU W , JIA Y Q , et al . Going deeper with convolutions [C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition . 712,2015 , Boston, MA . IEEE , 2015 : 1 - 9 . doi: 10.1109/cvpr.2015.7298594 http://dx.doi.org/10.1109/cvpr.2015.7298594
HOU Q B , ZHANG L , CHENG M M , et al . Strip pooling: rethinking spatial pooling for scene parsing [C]. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1319,2020 , Seattle, WA, USA. IEEE , 2020 : 4002 - 4011 . doi: 10.1109/cvpr42600.2020.00406 http://dx.doi.org/10.1109/cvpr42600.2020.00406
HE K M , ZHANG X Y , REN S Q , et al . Deep residual learning for image recognition [C]. 2016 IEEE Conference on Computer Vision and Pattern Recognition . 2730,2016 , Las Vegas, NV, USA . IEEE , 2016 : 770 - 778 . doi: 10.1109/cvpr.2016.90 http://dx.doi.org/10.1109/cvpr.2016.90
YANG T J , CHEN Y H , SZE V . Designing energy-efficient convolutional neural networks using energy-aware pruning [C]. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 21 - 26 , 2017 . Honolulu, HI. IEEE , 2017 : 6071 - 6079 . doi: 10.1109/cvpr.2017.643 http://dx.doi.org/10.1109/cvpr.2017.643
GHOSH A , EHRLICH M , SHAH S , et al . Stacked U-nets for ground material segmentation in remote sensing imagery [C]. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1822,2018 , Salt Lake City, UT, USA. IEEE , 2018 : 252 - 2524 . doi: 10.1109/cvprw.2018.00047 http://dx.doi.org/10.1109/cvprw.2018.00047
刘媛媛 , 孙嘉慧 , 张书杰 , 等 . 用多阈值多目标无人机图像分割优化算法检测秸秆覆盖率 [J]. 农业工程学报 , 2020 , 36 ( 20 ): 134 - 143 . doi: 10.11975/j.issn.1002-6819.2020.20.016 http://dx.doi.org/10.11975/j.issn.1002-6819.2020.20.016
LIU Y Y , SUN J H , ZHANG SH J , et al . Detection of straw coverage based on multi-threshold and multi-target UAV image segmentation optimization algorithm [J]. Transactions of the Chinese Society of Agricultural Engineering , 2020 , 36 ( 20 ): 134 - 143 . (in Chinese) . doi: 10.11975/j.issn.1002-6819.2020.20.016 http://dx.doi.org/10.11975/j.issn.1002-6819.2020.20.016
ZHAO H S , SHI J P , QI X J , et al . Pyramid scene parsing network [C]. 2017 IEEE Conference on Computer Vision and Pattern Recognition . 2126,2017 , Honolulu, HI, USA . IEEE , 2017 : 6230 - 6239 . doi: 10.1109/cvpr.2017.660 http://dx.doi.org/10.1109/cvpr.2017.660
ZHOU L C , ZHANG C , WU M . D-LinkNet: LinkNet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction [C]. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1822,2018 , Salt Lake City, UT, USA. IEEE , 2018 : 192 - 1924 . doi: 10.1109/cvprw.2018.00034 http://dx.doi.org/10.1109/cvprw.2018.00034
0
浏览量
561
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构