Vertical Accuracy Effect Verification for Satellite Imagery With Different GCPs

遥感 卫星 计算机科学 卫星广播 人工智能 地质学 物理 天文
作者
Ping Zhou,Xinming Tang,Zhenming Wang,Ning Cao,Xia Wang
出处
期刊:IEEE Geoscience and Remote Sensing Letters [Institute of Electrical and Electronics Engineers]
卷期号:14 (8): 1268-1272 被引量:18
标识
DOI:10.1109/lgrs.2017.2705339
摘要

This letter expands the block adjustment method by, respectively, adopting high-precision global positioning system (GPS) points, geoscience laser altimeter system (GLAS) data, and Shuttle Radar Topography Mission (SRTM)-digital elevation model (DEM) as vertical control data. Block adjustment experiments were conducted with these control data, with 388 ZY-3 satellite stereo image pairs across over 18600 km 2 of land in Hubei province of China utilized as experimental images and 180 GPS points as checkpoints. The experimental results obtained show that, with the adoption of 23 GPS points as control points, the horizontal root-mean-square error (RMSE) and vertical RMSE of the ZY-3 image improved from 10.97 to 5.72 m and from 7.12 to 1.65 m, respectively. Furthermore, with the adoption of 326 GLAS data points as vertical control points, the vertical RMSE of the ZY-3 images of the flat terrain areas and mountain terrain areas improved to 1.69 and 3.62 m, respectively. Through block adjustment constrained by SRTM-DEM, the vertical RMSE of the ZY-3 images was 1.44 m for flat terrain areas and 3.05 m for mountain terrain areas, respectively. The vertical accuracy of the satellite images was significantly enhanced, especially on the flat terrain area, when GLAS and STRM-DEM were used for vertical control block adjustment, which is similar to the vertical accuracy of block adjustments adopting GPS points as control.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
jiahu发布了新的文献求助10
1秒前
D515发布了新的文献求助50
1秒前
WYP驳回了pluto应助
1秒前
1秒前
吉吉完成签到,获得积分10
2秒前
2秒前
任性蓉完成签到,获得积分10
2秒前
3秒前
3秒前
3秒前
5秒前
婳嬨发布了新的文献求助10
5秒前
liugm发布了新的文献求助10
6秒前
御风发布了新的文献求助10
7秒前
吉吉发布了新的文献求助10
8秒前
Akim应助启航采纳,获得10
11秒前
明德zhuang发布了新的文献求助30
11秒前
乌眠完成签到,获得积分10
11秒前
脑洞疼应助xiaoE采纳,获得10
11秒前
11秒前
liugm完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
15秒前
王哈哈完成签到,获得积分10
16秒前
momo发布了新的文献求助10
17秒前
难过太君发布了新的文献求助10
17秒前
18秒前
赘婿应助爱听歌的万言采纳,获得10
18秒前
璇子发布了新的文献求助10
18秒前
御风完成签到,获得积分10
18秒前
小样完成签到,获得积分10
19秒前
柒辞完成签到,获得积分10
19秒前
19秒前
标致小珍发布了新的文献求助10
20秒前
777发布了新的文献求助10
21秒前
21秒前
贪玩蓝月发布了新的文献求助10
22秒前
文艺的胖虎完成签到 ,获得积分10
22秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3740976
求助须知:如何正确求助?哪些是违规求助? 3283817
关于积分的说明 10036983
捐赠科研通 3000610
什么是DOI,文献DOI怎么找? 1646618
邀请新用户注册赠送积分活动 783804
科研通“疑难数据库(出版商)”最低求助积分说明 750427