Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data
K Cheng, GJ Scott - Remote Sensing, 2023 - mdpi.com
As a medium-resolution multi-temporal data source, Sentinel-2 data has the potential to
match the performance of using very-high-resolution (VHR) images in deep learning …
match the performance of using very-high-resolution (VHR) images in deep learning …
A parallel and accurate method for large-scale image segmentation on a cloud environment
In this paper, we present a parallel algorithm for SLIC on Apache Spark, which we call
PSLIC-on-Spark. To this purpose, we have extended the original SLIC algorithm to use the …
PSLIC-on-Spark. To this purpose, we have extended the original SLIC algorithm to use the …
Differential morphological profile neural network for object detection in overhead imagery
Deep convolutional neural networks (DCNN) have been the dominant methodology in the
field of computer vision over the last decade, using various architectural organizations of …
field of computer vision over the last decade, using various architectural organizations of …
Trade-off analysis between parallelism and accuracy of slic on apache spark
In this paper, we present a parallel algorithm for SLIC on Apache Spark, which we call
PSLIC-on-Spark. To this purpose, we have extended the original SLIC algorithm to use the …
PSLIC-on-Spark. To this purpose, we have extended the original SLIC algorithm to use the …
Object detection based on SURF feature matching and Hough transform
S Lu, J Gu, L Wu, L Jiao - Seventh Asia Pacific Conference on …, 2022 - spiedigitallibrary.org
During the inspection process on the electric power underground pipe gallery, the intelligent
inspection robot has the problems of low positioning ac-curacy and poor real-time …
inspection robot has the problems of low positioning ac-curacy and poor real-time …
Deep Heterogeneous Superipxel Neural Networks for Image Analysis and Feature Extraction
ZA Yang - 2021 - search.proquest.com
Lately, deep convolutional neural networks are rapidly transforming and enhancing
computer vision accuracy and performance, and pursuing higher-level and interpretable …
computer vision accuracy and performance, and pursuing higher-level and interpretable …
[PDF][PDF] Covapixels
J Uhlmann - arXiv preprint arXiv:2010.09016, 2020 - arxiv.org
Covapixels Page 1 Covapixels Jeffrey Uhlmann∗ Dept. of Electrical Engineering and
Computer Science University of Missouri - Columbia Abstract We propose and discuss the …
Computer Science University of Missouri - Columbia Abstract We propose and discuss the …
Object detection based on SURF feature matching and Hough transform
L Wuc, L Jiaoa - Proc. of SPIE Vol - spiedigitallibrary.org
During the inspection process on the electric power underground pipe gallery, the intelligent
inspection robot has the problems of low positioning ac-curacy and poor real-time …
inspection robot has the problems of low positioning ac-curacy and poor real-time …