Dr. Likun Liu Profile

Dr. Likun Liu

at China Ship Development and Design Ctr

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 5 November 2020 Paper

The optimized method of pan-sharpening fusion based on pyramid model

Bingxian Zhang, Likun Liu

Proceedings Volume 11567, 1156745 (2020) https://doi.org/10.1117/12.2580296

KEYWORDS: Image fusion, Image processing, Distortion, Remote sensing, Fusion energy, Data fusion, RGB color model, Image filtering, Vegetation

Read Abstract +

Loss of texture information and color distortion have always been two key issues that plague the quality of fusion images. In recent years, with the development of remote sensing payload technology, the difference between the spectral range of panchromatic and multi-spectral images has become larger and larger, resulting in the problems proposed above becoming more prominent in the process of true color fusion. On one hand, the energy distribution of water areas and vegetation in the near-infrared and visible spectral ranges is very different, therefore, the color distortion is mainly concentrated in the water area and vegetation area, the specific manifestation is that the energy of the vegetation is sufficient and the energy of the water area is very small. On the other hand, multi-spectral devices have poor antisaturation and anti-dispersion characteristics, which often leads to the loss of texture information in images. In addition, the lack of energy of multi-spectral sensor results in limited recognition of textures in the shadow area of the fusion image. Based on the analysis of the shortcomings of the existing fusion methods, we propose a pan-sharpening fusion optimization method based on the pyramid model in this paper. This method first uses the spectral relationship between the spectral image and the panchromatic image to build the basic fusion model, then, in order to prevent the "illconditioned equation" phenomenon appeared during the fusion process, unequal conditional equations are introduced into the basic fusion model to form simultaneous equations to avoid color distortion and invalid data in the fusion results. Secondly, in order to suppress the blurring of the edges of the fused image caused by the saturation overflow in the image, we calculates the ratio of the panchromatic image to the up-sampling multi-spectral images, and replaces the deficiency of the previous fusion model to generate fusion images with high clarity and high spectral fidelity.

Proceedings Article | 12 March 2020 Paper

A deeply-enforced method for extracting ships in remote sensing satellite video data

Likun Liu

Proceedings Volume 11438, 1143810 (2020) https://doi.org/10.1117/12.2550278

KEYWORDS: Image segmentation, Remote sensing, Satellites, Detection and tracking algorithms, Video, Feature extraction, Image processing, Target detection, Satellite imaging, Convolution

Read Abstract +

Proceedings Article | 12 January 2018 Paper

A modified approach combining FNEA and watershed algorithms for segmenting remotely-sensed optical images

Likun Liu

Proceedings Volume 10620, 106201U (2018) https://doi.org/10.1117/12.2300543

KEYWORDS: Image segmentation, Image processing algorithms and systems, Image processing, Remote sensing, Fuzzy logic, Detection and tracking algorithms, Image analysis, Computer simulations, Feature extraction, Vegetation

Read Abstract +

Proceedings Article | 10 February 2017 Paper

Individual tree shape modeling for canopy delineation from airborne LiDAR data

Likun Liu

Proceedings Volume 10250, 102501Q (2017) https://doi.org/10.1117/12.2267155

KEYWORDS: 3D modeling, Data modeling, LIDAR

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years