[HTML][HTML] Changing farming practices as integral to sustenance and cropland-use loss in the context of urban expansion: The case of Jimma City, Southwest Ethiopia

BH Aboye, T Gebre-Egziabher, B Kebede… - Cleaner Environmental …, 2023 - Elsevier
Urbanization can cause changes in farming practices, which in turn bring cropland-use loss.
However, this issue is an under-researched topic. This study examines changing farming …

Pixel based classification for Landsat 8 OLI multispectral satellite images using deep learning neural network

M Singh, KD Tyagi - Remote Sensing Applications: Society and …, 2021 - Elsevier
In satellite image analysis, classification of objects appearing in an image is a major step of
information extraction. The information acquired from the satellite image can be used to …

Detection of expanded reformed geographical area in bi-temporal multispectral satellite images using machine intelligence neural network

M Singh, KD Tyagi - Journal of the Indian Society of Remote Sensing, 2022 - Springer
Detection of changes using bi-temporal multispectral images is an important processing tool
and widely used to predict changes over the earth's surface and for various applications in …

Multispectral remote sensing image classification using modern machine intelligence approach

M Singh, KD Tyagi - 2021 7th International Conference on …, 2021 - ieeexplore.ieee.org
Classification of multispectral images is a processing tool used in various applications of
remote sensing in natural hazards assessment, agricultural and environmental monitoring to …

Change detection of urban GIS maps with high resolution satellite data using deep learning techniaues

MB Prasad, PJ Sai, S Vasavi, P Joha… - … on Trends in …, 2021 - ieeexplore.ieee.org
Rapid increase in urban settlements has caused a tremendous effect on natural deposits
and habitat. A perfect blueprint is needed for organizing the settlements without degrading …

Principal Component Analysis of LISS—III Images Using QGIS

V Vijayalakshmi, D Mahesh Kumar… - … Electronics Devices and …, 2023 - Springer
Abstract Processing and Classification of Remote Sensing Data is essential for various
purposes such as knowing the earth's surface and its terrain, natural resource management …

Change Detection of Urban GIS Maps Using Multi-scale U-Net-Based Attention Neural Network Architecture

S Vasavi, MB Prasad, PJ Sai, KVG Rao - SN Computer Science, 2022 - Springer
The unplanned expansion of urban settlements has caused adverse effects on living
environments. High quality of remote sensing data is available and monitoring building …

[PDF][PDF] A Review of Clustering Methods Based on Artificial Intelligent Techniques.

BI Khaleel - Journal of Education & Science, 2022 - iasj.net
Due to the development in various areas of life, the development of the Internet, and the
presence of many datasets, and in order to obtain useful information from the rapidly …

[PDF][PDF] ADAPTIVE KUAN REGRESSIVE GENE OPTIMIZED FEATURE SELECTION BASED TUCKER'S CONGRUENCE DEEP CONVOLUTIONAL LEARNING FOR …

AJ Smile, C Mary - ICTACT Journal on Image & Video Processing, 2022 - ictactjournals.in
Change detection in multi-temporal images is a remote sensing application detects land
cover changes that occurred between two satellite images acquired at different times in …

[PDF][PDF] Automatic Change Detection on Satellite Images using Principal Component Analysis, ISODATA and Fuzzy C-Means Methods

I BEKKOUCHE, H FIZAZI - International Journal, 2022 - academia.edu
Change detection is the process of comparing two or more images and identifying the parts
where a change has occurred. Difference detection processing between simple digital …