MMShip:中分辨率多光谱卫星图像船舶数据集

MMShip:medium resolution multispectral satellite imagery ship dataset

针对现有遥感船舶数据集均为裁剪后的图像,用数据集训练的检测算法直接运用于卫星图像原始尺度时检测效果较差的问题,建立了可见光和近红外4个波段的多光谱卫星船舶数据集MMShip,数据集同时包含卫星图像的原始尺度数据和切割后的小尺度船舶数据。本数据集引入多波段信息,弥补现有数据集多为可见光图像,而可见光容易受到光照条件等影响的缺点。在全球海域内下载云量低于3的Sentinel-2卫星图像,进行大气校正后只选取10 m分辨率的红绿蓝和近红外4个波段,以景为单位筛选出包含有船舶的图像。把筛选后的图像按无重叠的方式切分为512×512,剔除其中不包含船舶目标的图像。然后,使用LabelImage软件对小尺度数据进行了水平框标注,再将标注数据反推至原始尺度得到原始尺度下的标注信息。最后,利用几种典型的检测算法在切割后的MMShip小尺度数据集上进行了可见光、近红外、多光谱对比实验。构建了一个涵盖不同场景的多光谱卫星船舶目标数据集,包含497景原始尺度标注数据和裁剪后的5 016组船舶目标图像。对比实验验证了近红外波段信息的补充有助于提高船舶目标检测算法的精度。多光谱船舶数据集MMShip可用于卫星图像尺度和普通图像尺度的多光谱船舶目标检测算法研究。

Considering that the existing remote-sensing ship datasets consist entirely of cropped images,the detection effect of the detection algorithm trained on the datasets is poor when it is directly applied to satellite images of the original scale.In this study,a multispectral satellite ship dataset MMShip with four bands of visible and near-infrared(NIR)light was established.The dataset includes both the original-scale data of satellite images and cut small-scale ship data.Owing to the introduction of multi-band information,this dataset compensates for the shortcoming that most of the existing datasets contain visible images,which are easily affected by illumination conditions.Sentinel-2 satellite images with cloud cover of<3 in the oceans worldwide were downloaded.After atmospheric correction,only four bands—red,green,blue,and NIR—with a 10-m resolution were selected,and the images containing ships were screened by scene.Next,the screened images were divided into a size of 512×512 such that the divided images do not overlap,and the images that did not contain the ship target were eliminated.The LabelImage software was used to label the small-scale data with a horizontal frame,and then the labeled data were converted to the original scale to obtain the labeling information under the original scale.Finally,several typical detec-tion algorithms were used to perform visible-light,near-infrared,and multispectral comparison experi-ments on the altered MMShip small-scale dataset.In this study,a multispectral satellite ship target datas-et covering different scenes was constructed,which included 497 original scale-labeled data and 5016 groups of cropped ship target images.The contrast experiment confirmed that the addition of near-infrared band information can increase the accuracy of the ship target detection algorithm.The developed multi-spectral ship dataset MMShip can be applied to research on algorithms for multispectral ship target detec-tion at the satellite-image and ordinary-image scales.