In deep learning research, self-supervised learning (SSL) has received great attention,
triggering interest within both the computer vision and remote sensing communities. While …

The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

Nature has always been a source of inspiration. Over the last few decades, it has stimulated
many successful algorithms and computational tools for dealing with complex and …

Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Building change detection (BCD) recently can be handled well under the booming of deep-
learning based computer vision techniques. However, segmentation and recognition for …

Functioning of the Internet is persistently transforming from the Internet of computers (IoC) to
the 'Internet of things (IoT)'. Furthermore, massively interconnected systems, also known as …

Change detection based on remote sensing (RS) images has a wide range of applications
in many fields. However, many existing approaches for detecting changes in RS images with …

Bangladesh is one of the most flood-affected countries in the world. In the last few decades,
flood frequency, intensity, duration, and devastation have increased in Bangladesh …

INTRODUCTION: Due to the advancement in the field of Artificial Intelligence (AI), the ability
to tackle entire problems of machine intelligence. Nowadays, Machine learning (ML) is …

Change detection is of great significance to Earth observations. Recently, with the
emergence of deep learning (DL), the power and feasibility of deep convolutional neural …