Historical maps classification has become an important application in today's scenario of
everchanging land boundaries. Historical map changes include the change in boundaries of …

Classification of the very high-resolution (VHR) imagery scene has become a challenging
problem. The convolutional neural network (CNN) has increased the accuracy in this area …

In this paper, a block division based visually secure encryption algorithm is proposed for
color images. Each block is sparsified through an optimal orthogonal transformation. Block …

Based upon the fact that multispectral image compression needs to remove both spatial and
spectral redundancy, recent learnt models via end-to-end manners have shown promising …

The monitoring and management of consistently changing landscape patterns are
accomplished through a large amount of remote sensing data using satellite images and …

This book covers the technology of digital image processing in various fields with big data
and their applications. Readers will understand various technologies and strategies used in …

Compared with single-band remote sensing images, multispectral images can obtain
information on the same target in different bands. By combining the characteristics of each …

With recent advances in sensor technology, several sensors are being extensively used to
continuously monitor agriculture areas to have better yield. These sensors, which include …

Remote Sensing satellites acquire information about an area by analyzing the transmitted
and reflected radio waves. The Earth Imaging satellites capture high resolution images …

Satellite communication is popular due to the advancement in storing and transmitting
satellite images. Image compression can be defined as the science of lowering the number …