Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: High-resolution spaceborne synthetic aperture radar (SAR) imaging faces significant challenges due to approximation errors in traditional signal models and algorithms. This paper proposes an ...

Land Surface Temperature (LST) is a key parameter for driving water and energy exchanges at the land surface, and the Split-Window (SW) algorithm is a widely used method for LST retrieval. In this ...

Implementing well-known (and some rare) algorithms and data structures in C++, while following good software engineering practices such as writing well-documented code, adhering to code guidelines, ...