activity
20082021
most citedExtreme Learning Machine for land cover classification

82 citations · 209 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2021

SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP

Achala Shakya, Mantosh Biswas, Mahesh Pal

SAR (VV and VH polarization) and optical data are widely used in image fusion to use the complimentary information of each other and to obtain the better-quality image (in terms of…

cs.CV2020

IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications

Mahesh Pal, Akshay, B. Charan Teja

We proposes a simple deep learning architecture combining elements of Inception, ResNet and Xception networks. Four new datasets were used for classification with both small and la…

cs.CV2020★ 2 cited

Patch Based Classification of Remote Sensing Data: A Comparison of 2D-CNN, SVM and NN Classifiers

Mahesh Pal, Akshay, Himanshu Rohilla +1

Pixel based algorithms including back propagation neural networks (NN) and support vector machines (SVM) have been widely used for remotely sensed image classifications. Within las…

cs.NE2019★ 1 cited

Deep neural network for pier scour prediction

Mahesh Pal

With the advancement in computing power over last decades, deep neural networks (DNN), consisting of two or more hidden layers with large number of nodes, are being suggested as an…

cs.CV2011★ 6 cited

Support vector machines/relevance vector machine for remote sensing classification: A review

Mahesh Pal

Kernel-based machine learning algorithms are based on mapping data from the original input feature space to a kernel feature space of higher dimensionality to solve a linear proble…

cs.OH2008★ 1 cited

Geographic Information Systems in Evaluation and Visualization of Construction Schedule

V. K. Bansal, Mahesh Pal

Commercially available scheduling tools such as Primavera and Microsoft Project fail to provide information pertaining to the spatial aspects of construction project. A methodology…