Remote sensing image retrieval in the past decade: Achievements, challenges, and future directions
Remote sensing image retrieval (RSIR) aims to search and retrieve the images of interest
from a large remote sensing image archive, which has remained to be a hot topic over the …
from a large remote sensing image archive, which has remained to be a hot topic over the …
PCLUDA: A pseudo-label consistency learning-based unsupervised domain adaptation method for cross-domain optical remote sensing image retrieval
D Hou, S Wang, X Tian, H Xing - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recent advances in deep learning have dramatically improved the performance of content-
based remote sensing image retrieval (CBRSIR) with the same distribution of training set …
based remote sensing image retrieval (CBRSIR) with the same distribution of training set …
Adaptive hash code balancing for remote sensing image retrieval
R Wang, J Zheng, W Zhou, Q Wang, Y Lu… - International Journal of …, 2023 - Taylor & Francis
Remote sensing image retrieval (RSIR) refers to finding images from an image database
that contain the same instance as the query image, which is an essential task in remote …
that contain the same instance as the query image, which is an essential task in remote …
[PDF][PDF] Classifying saleability of lime by using convolutional neural network (CNN) approach
N Chaiwong, W Pannakkong, J Buddhakulsomsiri - 2021 - ethesisarchive.library.tu.ac.th
Nowadays, there are many applications that have been used in agriculture field to facilitate
human workers. Many researches have been focused on fruits grading based on …
human workers. Many researches have been focused on fruits grading based on …