For statistical design of an optimal filter, it is probabilistically advantageous to employ a large
number of observation random variables; however, estimation error increases with the …

The retrieval of scene properties (surface temperature, material type, vegetation health, etc.)
from remotely sensed data is the ultimate goal of many earth observing satellites. The …

The expedience of today's image-processing applications is no longer based on the
performance of a single algorithm alone. These systems appear to be complex frameworks …

整体退火遗传算法(WAGA) 是一种新的遗传算法, 它将退火机制引入选择算子,
并允许父代加入竞争, 使遗传算法更加稳健, 高效. 本文应用WAGA 优化柔性形态滤波器 …

Abstract Machine design of a signal or image operator involves estimating the optimal filter
from sample data. The optimal filter is the best filter, relative to the error measure used; …

\Living organism are consummate problem solvers. They exhibit a versatility that puts the
best computer programs to shame." John H. Holland 1] The material of this bibliography has …

Recently, the application of machine learning techniques including neural networks and
genetic algorithms (GAs) to optimization problems has blossomed. Such techniques hold …

We propose a system for solving pixel-based multi-spectral image classification problems
with high throughput pipelined hardware. We introduce a new shared weight network …

In signal processing, a filter is usually defined as a linear, shift-invariant operation. Linear
filters are best suited to problems due to linear phenomena. For instance, a motion of the …

Context. CCD images obtained by space-based astronomy and solar physics are frequently
spoiled by galactic and solar cosmic rays, and particles in the Earth's radiation belt, which …