1 citations · 1 across the 2 of their papers we have counts for
6 papers
Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal
Sorour Mohajerani, Mark S. Drew, Parvaneh Saeedi
Removing the effect of illumination variation in images has been proved to be beneficial in many computer vision applications such as object recognition and semantic segmentation.…
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation
Sorour Mohajerani, Parvaneh Saeedi
Cloud and cloud shadow segmentation are fundamental processes in optical remote sensing image analysis. Current methods for cloud/shadow identification in geospatial imagery are no…
Preimplantation Blastomere Boundary Identification in HMC Microscopic Images of Early Stage Human Embryos
Shakiba Kheradmand, Parvaneh Saeedi, Jason Au +1
We present a novel method for identification of the boundary of embryonic cells (blastomeres) in Hoffman Modulation Contrast (HMC) microscopic images that are taken between day one…
Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery
Sorour Mohajerani, Parvaneh Saeedi
Cloud detection in satellite images is an important first-step in many remote sensing applications. This problem is more challenging when only a limited number of spectral bands ar…
Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks
Sorour Mohajerani, Thomas A. Krammer, Parvaneh Saeedi
This paper presents a deep-learning based framework for addressing the problem of accurate cloud detection in remote sensing images. This framework benefits from a Fully Convolutio…
CPNet: A Context Preserver Convolutional Neural Network for Detecting Shadows in Single RGB Images
Sorour Mohajerani, Parvaneh Saeedi
Automatic detection of shadow regions in an image is a difficult task due to the lack of prior information about the illumination source and the dynamic of the scene objects. To ad…