Research on Hexagonal Remote Sensing Image Sampling

No abstract is available for this paper.

• Publication year

  2021

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1007/978-3-030-56488-9_10
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Comparison between Square Pixel Structure and Hexagonal Pixel Structure in Digital Image Processing

  2015cited by this paper
• Compression of images represented in hexagonal lattice using wavelet and gabor filter

  2014cited by this paper
• Automatic Analysis and Mining of Remote Sensing Big Data

  2014cited by this paper
• Comparing Hexagonal Image Resampling Techniques with Respect to Feature Extraction

  2011cited by this paper
• Bi-lateral filtering based edge detection on hexagonal architecture

  2005cited by this paper
• Advantages of hexagonal sampling grids and hexagonal shape detector elements in remote sensing imagers

  2002cited by this paper
• Detector shape in hexagonal sampling grids

  2001cited by this paper
• Rectangularly and hexagonally sampled imaging-system-fidelity analysis

  1993cited by this paper
• End-to-end analysis of hexagonal vs rectangular sampling in digital imaging systems

  1993cited by this paper
• Dynamical stability and parameter selection in neural optimization

  1992cited by this paper
• An algorithmic comparison between square- and hexagonal-based grids

  1991cited by this paper
• A multiplication in $N$-space

  1979cited by this paper
• The processing of hexagonally sampled two-dimensional signals

  1979cited by this paper
• On Quadrature Sampling of Bandpass Signals

  1979cited by this paper
• Hexagonal image processing

  1976cited by this paper
• Sampling and Reconstruction of Wave-Number-Limited Functions in N-Dimensional Euclidean Spaces

  1962cited by this paper

• Sampling and Layout of OPM Arrays for MCG Based on the Sampling Theorem

  2025cites this paper
• Improved country-wide estimation of above-ground tropical forest biomass using locally calibrated GEDI spaceborne LiDAR data

  2024cites this paper