{
    "created": "2024-07-19 18:02:08",
    "updated": "2026-05-03 18:45:25",
    "id": "b46613f7-b7d2-407c-9e55-e33220011585",
    "version": 9,
    "ds_topic": null,
    "title_cn": "中国代表性城市的新型大尺度卫星影像数据集CHN6-CUG",
    "title_en": "CHN6-CUG: A Novel Large-Scale Satellite Imagery Dataset of Representative Chinese Cities",
    "ds_abstract": "<p>&emsp;&emsp;中国代表性城市的新型大尺度卫星影像数据集CHN6-CUG选取了北京朝阳区、上海杨浦区、武汉市中心、深圳南山区、香港沙田、中国澳门等6个城市化水平、城市规模、发展程度、城市结构以及历史文化不尽相同的城市。根据路面覆盖度，标示的道路包括有轨道覆盖的路面和无轨道覆盖的路面。根据地理因素的物理角度，标示道路包括铁路、公路、城市道路和农村道路等。</p>\n<p>&emsp;&emsp;CHN6-CUG包含4511张大小为512×512的标记图像，划分为3608张用于模型训练，903张用于测试以及结果评估，分辨率为50厘米/像素。数据集原图为.jpg格式，道路标注图为.png格式，压缩后数据量为175MB。</p>",
    "ds_source": "<p>&emsp;&emsp;该数据集是人工标记的像素级高分辨率卫星影像，遥感影像底图来自谷歌地球。</p>",
    "ds_process_way": "<p>&emsp;&emsp;根据路面覆盖度，标示的道路包括有轨道覆盖的路面和无轨道覆盖的路面。根据地理因素的物理角度，标示道路包括铁路、公路、城市道路和农村道路等。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量精度较高。</p>",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "中国,北京朝阳区,上海杨浦区,武汉市中心,深圳南山区,香港沙田区,澳门",
    "ds_acq_lon_east": 135.01666666666668,
    "ds_acq_lat_south": 3.8666666666666667,
    "ds_acq_lon_west": 73.66666666666667,
    "ds_acq_lat_north": 53.5,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 175883386,
    "ds_files_count": 2,
    "ds_format": "JPG,PNG",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "b46613f7-b7d2-407c-9e55-e33220011585.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "09314967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4599"
    ],
    "quality_level": 3,
    "publish_time": "2024-07-26 17:03:18",
    "last_updated": "2026-01-12 17:45:24",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NIEER.DB6677.2024",
    "i18n": {
        "en": {
            "title": "CHN6-CUG: A Novel Large-Scale Satellite Imagery Dataset of Representative Chinese Cities",
            "ds_format": "JPG,PNG",
            "ds_source": "<p>&emsp;&emsp;The dataset is manually labeled pixel-level high-resolution satellite imagery with remote sensing image basemaps from Google Earth.</p>",
            "ds_quality": "<p>&emsp;&emsp;The data quality and accuracy are relatively high.</ p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> The new large-scale satellite imagery dataset CHN6-CUG of representative cities in China selected six cities with different urbanization levels, city scales, development degrees, urban structures and historical cultures, including Chaoyang District in Beijing, Yangpu District in Shanghai, Wuhan city center, Nanshan District in Shenzhen, Shatin in Hong Kong and Macao in China. According to the degree of pavement coverage, the labeled roads include both track-covered and non-track-covered pavements. Based on the physical perspective of geographic factors, the marked roads include railroads, highways, urban roads and rural roads.</p>\n<p>  CHN6-CUG contains 4511 labeled images of size 512×512, divided into 3608 for model training and 903 for testing as well as result evaluation with a resolution of 50 cm/pixel. The original image of the dataset is in .jpg format and the road labeling image is in .png format, and the compressed data size is 175 MB.</p>",
            "ds_time_res": "",
            "ds_acq_place": "China, Chaoyang District of Beijing, Yangpu District of Shanghai, Central Wuhan, Nanshan District of Shenzhen, Shatin District of Hong Kong, Macau",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;Based on pavement coverage, marked roads include track-covered roads and non-track-covered roads. Based on the physical perspective of geographical factors, marked roads include railroads, highways, urban roads and rural roads.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_local",
    "cstr_reg_from": "reg_local",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "道路数据",
        "遥感影像",
        "高分辨率"
    ],
    "ds_subject_tags": [
        "地理学其他学科"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "北京朝阳区",
        "上海杨浦区",
        "武汉市中心",
        "深圳南山区",
        "香港沙田区",
        "澳门"
    ],
    "ds_time_tags": [],
    "ds_contributors": [
        {
            "true_name": "朱祺祺",
            "email": "zhuqq@cug.edu.cn",
            "work_for": "中国地质大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "朱祺祺",
            "email": "zhuqq@cug.edu.cn",
            "work_for": "中国地质大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "朱祺祺",
            "email": "zhuqq@cug.edu.cn",
            "work_for": "中国地质大学",
            "country": "中国"
        }
    ],
    "category": "其他"
}