62 citations · 157 across the 7 of their papers we have counts for
7 papers
Latent Dirichlet Transformer VAE for Hyperspectral Unmixing with Bundled Endmembers
Giancarlo Giannetti, Faisal Z. Qureshi
Hyperspectral images capture rich spectral information that enables per-pixel material identification; however, spectral mixing often obscures pure material signatures. To address…
SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing
Soham Chitnis, Kiran Mantripragada, Faisal Z. Qureshi
The hyperspectral pixel unmixing aims to find the underlying materials (endmembers) and their proportions (abundances) in pixels of a hyperspectral image. This work extends the Lat…
Hyperspectral Image Compression Using Implicit Neural Representation
Shima Rezasoltani, Faisal Z. Qureshi
Hyperspectral images, which record the electromagnetic spectrum for a pixel in the image of a scene, often store hundreds of channels per pixel and contain an order of magnitude mo…
Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images
Kiran Mantripragada, Faisal Z. Qureshi
Image segmentation is a fundamental step for the interpretation of Remote Sensing Images. Clustering or segmentation methods usually precede the classification task and are used as…
Radiation reaction for spinning black-hole scattering
Francesco Alessio, Paolo Di Vecchia
Starting from the leading soft term of the 5-point amplitude, involving a graviton and two Kerr black holes, that factorises into the product of the elastic amplitude without the g…
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Faisal Z. Qureshi
We present a method for hyperspectral pixel {\it unmixing}. The proposed method assumes that (1) {\it abundances} can be encoded as Dirichlet distributions and (2) spectra of {\it…
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study
Kiran Mantripragada, Phuong D. Dao, Yuhong He +1
This paper presents a systematic study of the effects of hyperspectral pixel dimensionality reduction on the pixel classification task. We use five dimensionality reduction methods…