A review of Convolutional Neural Networks in Remote Sensing Image
Effectively analysis of remote-sensing images is very important in many practical applications, such as urban planning, geospatial object detection, military monitoring, vegetation mapping and precision agriculture. Recently, convolutional neural network based deep learning algorithm has achieved a...
Main Authors: | Liu, Xinni, Han, Fengrong, Kamarul Hawari, Ghazali, Izzeldin, I. Mohd, Zhao, Yue |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
ACM Digital Library
2019
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/27355/1/A%20review%20of%20Convolutional%20Neural%20Networks1.pdf |
Similar Items
-
Deep learning faster region-based convolutional neural network technique for oil palm tree counting
by: Xinni, Liu, et al.
Published: (2020) -
Review of CNN in aerial image processing
by: Liu, Xinni, et al.
Published: (2023) -
A Survey on Deployment and Coverage Strategies in Three-Dimensional Wireless Sensor Networks
by: Han, Fengrong, et al.
Published: (2019) -
Automatic detection of oil palm tree from UAV images based on the deep learning method
by: Xinni, Liu, et al.
Published: (2021) -
Oil palm tree detection and counting in aerial images based on faster R-CNN
by: Xinni, Liu, et al.
Published: (2020)