GAN-FuzzyNN: Optimization Based Generative Adversarial Network and Fuzzy Neural Network Classification for Change Detection in Satellite Images

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION

Sensing and Imaging Pub Date : 2023-01-03 DOI:10.1007/s11220-022-00404-3

K. R. Gite, P. Gupta

引用次数: 0

查看原文本刊更多论文

GAN模糊神经网络：基于优化的生成对抗性网络和模糊神经网络分类在卫星图像变化检测中的应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Sensing and Imaging INSTRUMENTS & INSTRUMENTATION-

CiteScore

5.00

自引率

0.00%

发文量

期刊介绍： Sensing and Imaging: An International Journal publishes peer-reviewed theoretical and experimental papers in print and online covering sensing and imaging techniques, systems, networks, and applications in engineering, science and medicine. The journal scope is broad and multidisciplinary, covering subsurface and surface sensing, and other sensing areas. Subsurface and surface sensing involves detection, identification and classification of objects, structures and matter, respectively, under and at surfaces.