Convolutional neural networks (CNNs) have shown excellent performance for hyperspectral image (HSI) classification due to their characteristics of both local connectivity and sharing weights. Nevertheless, with the in-depth study network architecture, merely manual empirical design can no longer meet current scenario needs. In addition, existing CNN-based frameworks are heavily affected by redu...

In the coming Internet of Things (IoT) era, it is important to reduce volume data being output by sensors as well their power consumption. Since conventional image sensor for photography are often redundant in AI applications, that can lightweight use needed. this work, we propose a complementary metal oxide semiconductor (CMOS) (CIS) pixel circuit extract intensity gradients without analog mem...

In land use planning, mapping the present land use / land cover situation is a necessary tool for determining the current condition and for identifying land use trends. In this study, in order to provide a land use/ land cover map for Ilam watershed, the IRS-1C image data from 25th April 2006 were used. Initial qualitative evaluation on data showed no significant radiometric error. Ortho-rectif...

Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The involvement of digital image classification allows the doctor and the physicians a second opinion, and it saves the doctors' and physicians' time. Des...