Houpu Li
Biographic Data
| ID | 8106933 |
|---|---|
| NAME | Houpu Li |
| GIVEN NAMES | Houpu |
| FAMILY NAME | Li |
| SIGNATURE | LI H |
| AFFILIATIONS | Naval University of Engineering |
| ORCID | 0000-0001-9698-8911 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Optimization of Complex Function Expansions for Gauss-Krüger Projections
Compared with complex and lengthy Gauss-Krüger projection series expansions and real number expressions, we improve the complex function representation of Gauss-Krüger projections and rewrite them into the “multiple Angle form”, “exponential form”, and “double Angle form”. The coefficients were expanded in the power series based on the first eccentricity e and the third flattening n, respectively, and the truncation difference was analyzed when e…
RSPCN
The digital elevation model (DEM) is known as one kind of the most significant fundamental geographical data models. The theory, method and application of DEM are hot research issues in geography, especially in geomorphology, hydrology, soil and other related fields. In this paper, we improve the efficient sub-pixel convolutional neural networks (ESPCN) and propose recursive sub-pixel convolutional neural networks (RSPCN) to generate higher-resol…
No prominent works on this page.
RSPCN
The digital elevation model (DEM) is known as one kind of the most significant fundamental geographical data models. The theory, method and application of DEM are hot research issues in geography, especially in geomorphology, hydrology, soil and other related fields. In this paper, we improve the efficient sub-pixel convolutional neural networks (ESPCN) and propose recursive sub-pixel convolutional neural networks (RSPCN) to generate higher-resol…
Optimization of Complex Function Expansions for Gauss-Krüger Projections
Compared with complex and lengthy Gauss-Krüger projection series expansions and real number expressions, we improve the complex function representation of Gauss-Krüger projections and rewrite them into the “multiple Angle form”, “exponential form”, and “double Angle form”. The coefficients were expanded in the power series based on the first eccentricity e and the third flattening n, respectively, and the truncation difference was analyzed when e…
Algorithm (2 works) · Advanced Image Processing Techniques (1 work) · Advanced Vision and Imaging (1 work) · Applied Mathematics (1 work) · Artificial Intelligence (1 work) · Bicubic interpolation (1 work) · Bilinear interpolation (1 work) · Computer Science (1 work) · Computer vision (1 work) · Convolutional neural network (1 work)