Performance Assessment of Various Machine Learning Classification Methods for Classifying the Landcover Using Landsat 8 OLI

A Sajan, M Dhanya - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Classification is a technique used for categorizing different features associated with the land
cover. It is a very important and visually distinguishable method for understanding the land …

Computational optimization of the supervised classifiers using landsat-8 multispectral imagery

Y Soni, U Meena, VK Mishra - Artificial Intelligence and …, 2024 - taylorfrancis.com
The spectrum responses of the various biophysical materials on the globe are provided via
satellite images. These spectral responses must be converted into LULC (Land Use Land …

Change analysis of water area and flood mapping using a novel water index 2020 (WI2020) for Landsat imagery

VK Mishra, T Pant - Geocarto International, 2022 - Taylor & Francis
The present study deals with Landsat data for the change analysis and flood mapping using
water class extraction. Among the various available bands, the most suitable band …

Water level monitoring using classification techniques on Landsat‐8 data at Sangam region, Prayagraj, India

VK Mishra, T Pant - IET Image Processing, 2020 - Wiley Online Library
In the present study, Landsat‐8 data have been used for water identification at the Sangam
region, the confluence of the Ganges and Yamuna rivers. Since the water of both the rivers …

Change Detection in Water Body Areas Through Optimization Algorithm Using High-and Low-Resolution Satellite Images

A Sivasankari, S Jayalakshmi… - Recent Developments in …, 2023 - igi-global.com
The Earth's surface has changed significantly as a result of human activity on the land
expanding agriculture and population. To fulfil the growing demand for fundamental human …

Towards the on-chip realization of polarization encoded qubits

DL MacFarlane, A Helmy, H Shahoei… - Quantum …, 2024 - spiedigitallibrary.org
While photonic quantum circuits may be implemented using polarization-encoded qubits,
their photonic integrated circuit (PIC) realization has been limited by on-chip impairments …

Impact of Cluster Sampling on the Classification of Landsat 8 Remote Sensing Imagery

VK Mishra, T Pant - … Intelligence and Signal Processing: Proceedings of …, 2020 - Springer
Remote sensing images are rich enough in terms of both qualitative and quantitative
information. Extraction of different land features on earth surface from imagery is highly …

Mapping and prediction of urban area with Markov-CA model using Landsat-8 images for effective management of urban area in Prayagraj City

VK Mishra, T Pant - 2020 URSI Regional Conference on Radio …, 2020 - ieeexplore.ieee.org
Study of land use land cover for changes and prediction of changes is one of the thrust
areas in remote sensing. The present study deals with the changes in urban area with the …

Monitoring the change in water class of two rivers in Sangam Region, Prayagraj, India using Landsat-8 OLI Imagery

VK Mishra, T Pant - IGARSS 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Change detection is the measure of land cover land use (LULC) transformation in a
particular region within a period of time. Periodic and precise change detection of earth's …

A Novel Water Index for Extraction of Water Features using Landsat-8 Images in Prayagraj District, India

VK Mishra, T Pant - … Assembly and Scientific Symposium of the …, 2020 - ieeexplore.ieee.org
The satellite images can be categorized in three classes on the basis of the spectral bands,
viz., panchromatic, multispectral and hyperspectral. The multispectral imageries are very …