Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2862(2022)
Multispectral Lightweight Ship Target Detection Algorithm for Sentinel-2 Satellite
Fig. 1. Comparison of images before and after atmospheric correction
(a): Before atmospheric correction; (b): After atmospheric correction
Fig. 4. Comparison of NDWI and PNDWI extractions for seawater with and without sediment
(a): RGB image of seawater with sediment; (b): NIR image of seawater with sediment; (c): NDWI for seawater with sediment; (d): PNDWI for seawater with sediment; (e): RGB image of seawater without sediment; (f): NIR image of seawater without sediment; (g): NDWI for seawater without sediment; (h): PNDWI for seawater without sediment
Fig. 5. Statistical box plots of pixel values of 5 scenes in 4 bands and box plot interpretation
(a): Ship; (b): Thick clouds; (c): Thin clouds; (d): Smooth sea; (e): Sea clutter; (f): Box plot interpretation
Fig. 6. Process of assisting determination
(a): RGB; (b): NIR; (c): PNDWI; (d): Assisting determination
Fig. 8. (a)Schematic diagram of spectral feature extraction, (b)1×1 convolution diagram
Fig. 12. Loss reduction (a) and precision variation (b) of verification set with an interation of 10 000
Fig. 13. Detection result
(a): RGB; (b): NIR; (c): Binary images of rough detection; (d): Fine detection
|
|
Get Citation
Copy Citation Text
Li CHEN, Shi-yong WANG, Si-li GAO, Chang TAN, Lin-han LI. Multispectral Lightweight Ship Target Detection Algorithm for Sentinel-2 Satellite[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2862
Category: Research Articles
Received: Aug. 19, 2021
Accepted: Nov. 23, 2021
Published Online: Nov. 17, 2022
The Author Email: