FPA-Net: Frequency-Guided Position-Based Attention Network for Land Cover Image Segmentation.

AS Rubel, FY Shih - International Journal of Pattern …, 2023 - search.ebscohost.com
Land cover segmentation has been a significant research area because of its multiple
applications including the infrastructure development, forestry, agriculture, urban planning …

Forecasting crop using machine learning model

S Hemalatha, T Kavitha, TM Saravanan… - … on Electronics and …, 2022 - ieeexplore.ieee.org
The majority of India's population depends on agriculture as its main economic foundation
and means of livelihood. Various techniques have been developed to study agricultural …

Detecting space debris using deep learning algorithms: a survey

P Jharbade, M Dixit - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
A collection of natural micrometeoroids and artificial items orbiting the earth is known as
space debris. Artificial space debris consists of non-operational satellites, parts of rocket …

Enhancing the Resolution of Ancient Artworks using Generative Adversarial Networks

R Ashwini, R Vani, S Suvitha - 2022 4th International …, 2022 - ieeexplore.ieee.org
Inp ainting is a form of conservation that involves filling in damaged, deformed, or missing
areas of an artwork in order to present a whole image. This method may be imp lemented in …

Extraction of Roadways from Aerial Images using U-Net Backbones

M Sobhana, GSD Kumar, P Pakkiru… - 2022 6th International …, 2022 - ieeexplore.ieee.org
The Earth's land use and cover are changing drastically due to several societal, industrial,
and natural occurrences. The identification of changes in landforms in cities is challenging …

UAV Classification from Micro-Doppler Signature-based Time Frequency Images using SVM

MM Hasan, A Pandey, AAB Raj - … International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, UAVs are one of the most challenging flying objects to detect and classify. As
their RCS is very low, traditional radar finds it very difficult to detect. To make the scenario …

Satellite Image Segmentation via Image Quality Enhancement and Modified Unet Architecture

A Pathak, M Kamani, R Priyanka - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Satellite imaging is essential for urban planning and crisis management as it records
detailed spatial information such as buildings, roads, and different types of land cover …

U-NET and RCNN Ensembled Satellite Object Detection and Segmentation

G Subhashini, A Devi, CN Infantia… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
Humans have always been curious to learn and explore new things and have achieved
great things with that curiosity." CURIOSITY IS THE WICK IN THE CANDLE OF LEARNING," …

Data Acquisition and Image Augmentation using Adversarial Networks

U Lathamaheswari… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
It is possible to avoid challenges caused by overfitting, and the performance of machine
learning algorithms can improve when there is a large amount of data. The improved …

Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing

GS Geethika, VS Sreeja, T Tharuni… - … Conference on Computer …, 2022 - Springer
Change Detection is depicted to compare the spatial representation of two points in time,
with variations in the variables of interest causing changes. Remote sensed data of Landsat …