activity
20172019
most citedAlgorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

568 citations · 733 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2019★ 7 cited

Comparative study of panel and panelless-based reflectance conversion techniques for agricultural remote sensing

Baabak Mamaghani, Carl Salvaggio

Small unmanned aircraft systems (sUAS) have allowed for thousands of aerial images to be captured at a moments notice. The simplicity and relative low cost of flying a sUAS has pro…

cs.LG2018★ 5 cited

Batch-normalized Recurrent Highway Networks

Chi Zhang, Thang Nguyen, Shagan Sah +3

Gradient control plays an important role in feed-forward networks applied to various computer vision tasks. Previous work has shown that Recurrent Highway Networks minimize the pro…

cs.CL2018★ 1 cited

Semantic Sentence Embeddings for Paraphrasing and Text Summarization

Chi Zhang, Shagan Sah, Thang Nguyen +4

This paper introduces a sentence to vector encoding framework suitable for advanced natural language processing. Our latent representation is shown to encode sentences with common…

eess.IV2018★ 1 cited

An initial exploration of vicarious and in-scene calibration techniques for small unmanned aircraft systems

Baabak Mamaghani, Geoffrey Sasaki, Ryan Connal +7

The use of small unmanned aircraft systems (sUAS) for applications in the field of precision agriculture has demonstrated the need to produce temporally consistent imagery to allow…

cs.CV2017★ 130 cited

A Fully Convolutional Network for Semantic Labeling of 3D Point Clouds

Mohammed Yousefhussien, David J. Kelbe, Emmett J. Ientilucci +1

When classifying point clouds, a large amount of time is devoted to the process of engineering a reliable set of features which are then passed to a classifier of choice. Generally…

cs.CV2017★ 21 cited

High-Resolution Multispectral Dataset for Semantic Segmentation

Ronald Kemker, Carl Salvaggio, Christopher Kanan

Unmanned aircraft have decreased the cost required to collect remote sensing imagery, which has enabled researchers to collect high-spatial resolution data from multiple sensor mod…