演化硬件在声纳识别中的应用 Abstract: An evolvable hardware (EHW) system for high-speed sona return classification has been proposed. The system demonstrates an average accuracy of 91.4% on a sonar spectrum data set. This is bette than a feed-forward neural netwo
This tutorial provides an introduction to classification procedures using Landsat TM data from Cañon City, Colorado. Results of both unsupervised and supervised classifications are examined and post classification processing including clump, sieve,
