Image classification refers to segregating pictures based on their visual characteristics. This
is a crucial area of study in computer vision and is widely used in various applications such …

Satellite images are taken in different conditions that are affected by the weather, the
atmosphere, the noise they contain, and the difference in lighting. In addition, the images …

In this work, we are creating a system to classify satellite images in order to extract
information using image processing techniques. Classification of satellite images into used …

Deep Learning approach is essential for classifying remotely sensed images, identifying
objects in satellite images, and using those results for numerous purposes. In light of the …

Disaster relief, police work, and environmental monitoring all benefit from satellite images.
Objects and infrastructure in the images must be manually identified for these applications …

Satellite images have become a vital resource in a variety of fields, including environmental
monitoring, urban planning, and disaster management. The adoption of deep learning …

At the age of artificial intelligence, remote sensing and especially satellite imagery is gaining
widespread interest among computer science community in their effort to give machines the …

Our planet Earth comprises distinguished topologies based on temperature, location,
latitude, longitude, and altitude, which can be captured using Remote Sensing Satellites. In …

Classification of the image is an integral part of the digital picture and plays a very significant
role in the development of remote sensing technologies. Thus the need to find sophisticated …

Featured Application This research can be used for environmental monitoring. Satellite
images are used to classify different land cover types. This information can help in …