The GF-4 satellite is a geostationary-orbit optical remote sensing satellite with the highest resolution in the world. The satellite can incessantly observe the designated area with high temporal resolution, high spatial resolution, and large imaging width. In this paper, a multiple moving ships detection method for GF-4 satellite is proposed. Firstly, the median filtering denoising and non-linear gray-scale stretching are applied to the remote sensing image. Secondly, the saliency map is extracted by the spectral residual (SR) method. Finally, a fusion processing is further performed by adopting the image fusion method based on weighted Dempster-Shafer evidence theory (WDS) to detect ships. Evaluated by the experiment based on real data of GF-4 satellite, it is shown that the proposed method can detect the multiple moving ships accurately and efficiently by the GF-4 satellite image.
WANG Xiaohui
,
HU Yuxin
,
Lü Peng
. Multiple moving ships detection method based on saliency map fusion for GF-4 satellite remote sensing image[J]. Journal of University of Chinese Academy of Sciences, 2021
, 38(5)
: 649
-659
.
DOI: 10.7523/j.issn.2095-6134.2021.05.009
[1] Wang M, Cheng Y, Chang X, et al. On-orbit geometric calibration and geometric quality assessment for the high-resolution geostationary optical satellite GaoFen4[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 125:63-77.
[2] 李果, 孔祥皓, 刘凤晶, 等. "高分四号"卫星遥感技术创新[J]. 航天返回与遥感, 2016, 37(4):7-15.
[3] Zhang Z, Shao Y, Tian W, et al. Application potential of GF-4 images for dynamic ship monitoring[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(6):911-915.
[4] Liu Y, Yao L, Xiong W, et al. GF-4 satellite and automatic identification system data fusion for ship tracking[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 16(2):281-285.
[5] Yang G, Li B, Ji S, et al. Ship detection from optical satellite images based on sea surface analysis[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 11(3):641-645.
[6] Corbane C, Najman L, Pecoul E, et al. A complete processing chain for ship detection using optical satellite imagery[J]. International Journal of Remote Sensing, 2010, 31(22):5837-5854.
[7] 艾加秋, 齐向阳. 一种基于独立联合K-分布CFAR的舰船检测算法[J]. 中国科学院研究生院学报, 2010, 27(5):651-656.
[8] Yang X, Sun H, Fu K, et al. Automatic ship detection in remote sensing images from google earth of complex scenes based on multiscale rotation dense feature pyramid networks[J]. Remote Sensing, 2018, 10(1):132.
[9] Lin H, Shi Z, Zou Z. Fully convolutional network with task partitioning for inshore ship detection in optical remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(10):1665-1669.
[10] Kang M, Ji K, Leng X, et al. Contextual region-based convolutional neural network with multilayer fusion for SAR ship detection[J]. Remote Sensing, 2017, 9(8):860.
[11] Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1998, 20(11):1254-1259.
[12] Ye L, Liu Z, Zhou X, et al. Saliency detection via similar image retrieval[J]. IEEE Signal Processing Letters, 2016, 23(6):838-842.
[13] 闫成章, 刘畅. 基于显著性的SAR图像船舶目标检测方法[J]. 中国科学院大学学报, 2019, 36(3):401-409.
[14] 唐红梅, 吴士婧, 郭迎春, 等. 自适应阈值分割与局部背景线索结合的显著性检测[J]. 电子与信息学报, 2017, 39(7):1592-1598.
[15] Guo C, Ma Q, Zhang L. Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform[C]//Conference on Computer Vision and Pattern Recognition. IEEE, 2008:1-8.
[16] Hou X, Zhang L. Saliency detection:a spectral residual approach[C]//Conference on Computer Vision and Pattern Recognition. IEEE, 2007:1-8.
[17] 李崇飞, 高颖慧, 卢凯, 等. 基于相位谱和调谐幅度谱的显著性检测方法[J]. 中国图象图形学报, 2012, 17(7):821-827.
[18] 赵春晖, 栾世杰. 相位谱的光学遥感图像舰船目标检测[J]. 沈阳大学学报(自然科学版), 2015, 27(5):369-375.
[19] Chen B C, Tao X, Yang M R, et al. A saliency map fusion method based on weighted DS evidence theory[J]. IEEE Access, 2018, 6:27346-27355.
[20] Yao L, Liu Y, He Y. A novel ship-tracking method for GF-4 satellite sequential images[J]. Sensors, 2018, 18(7):2007.
[21] 李晓博, 孙文方, 李立. 静止轨道遥感卫星海面运动舰船快速检测方法[J]. 电子与信息学报, 2015, 37(8):1862-1867.
[22] Liou K N. Influence of cirrus clouds on weather and climate processes:a global perspective[J]. Monthly Weather Review, 1986, 114(6):1167-1199.
[23] Perreault S, Hebert P. Median filtering in constant time[J]. IEEE Trans. Image Processing, 2007, 16(9):2389-2394.
[24] Goshtasby A A, Nikolov S. Guest editorial:Image fusion:advances in the state of the art[J]. Information Fusion, 2007, 8(2):114-118.
[25] 韩亮, 李婵飞, 蒲秀娟. 图像分割与平稳小波变换法融合红外与可见光图像[J]. 重庆大学学报, 2013, 36(6):112-118.
