10 citations · 14 across the 10 of their papers we have counts for
5 papers · 1 filter
Rank-Aware Quantile Activation for Motion-Robust Crop Segmentation in UAV Imagery
Abinav Kiran, Sravan Danda, Aditya Challa +2
Motion blur from high-speed UAV acquisition de-grades semantic segmentation on rare texture-dependent classes with high agronomic value. Standard CNNs rely on high-frequency magnit…
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images
Siddharth Saravanan, Aditya Challa, Sravan Danda
State-of-the-art methods for semantic segmentation of images involve computationally intensive neural network architectures. Most of these methods are not adaptable to high-resolut…
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification
Rohan Agarwal, Aman Aziz, Aditya Suraj Krishnan +2
Hyperspectral image (HSI) classification is a topic of active research. One of the main challenges of HSI classification is the lack of reliable labelled samples. Various semi-supe…
A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs
Nagajothi Kannan, Sravan Danda, Aditya Challa +1
The study of water bodies such as rivers is an important problem in the remote sensing community. A meaningful set of quantitative features reflecting the geophysical properties he…
Triplet-Watershed for Hyperspectral Image Classification
Aditya Challa, Sravan Danda, B. S. Daya Sagar +1
Hyperspectral images (HSI) consist of rich spatial and spectral information, which can potentially be used for several applications. However, noise, band correlations and high dime…