Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective

MD Hossain, D Chen - ISPRS Journal of Photogrammetry and Remote …, 2019 - Elsevier
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

A survey on spectral–spatial classification techniques based on attribute profiles

P Ghamisi, M Dalla Mura… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Just over a decade has passed since the concept of morphological profile was defined for
the analysis of remote sensing images. Since then, the morphological profile has largely …

Advances in spectral-spatial classification of hyperspectral images

M Fauvel, Y Tarabalka, JA Benediktsson… - Proceedings of the …, 2012 - ieeexplore.ieee.org
Recent advances in spectral-spatial classification of hyperspectral images are presented in
this paper. Several techniques are investigated for combining both spatial and spectral …

Remote sensing scene classification by unsupervised representation learning

X Lu, X Zheng, Y Yuan - IEEE Transactions on Geoscience and …, 2017 - ieeexplore.ieee.org
With the rapid development of the satellite sensor technology, high spatial resolution remote
sensing (HSR) data have attracted extensive attention in military and civilian applications. In …

Automatic design of convolutional neural network for hyperspectral image classification

Y Chen, K Zhu, L Zhu, X He, P Ghamisi… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
Hyperspectral image (HSI) classification is a core task in the remote sensing community, and
recently, deep learning-based methods have shown their capability of accurate classification …

Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest

C Debes, A Merentitis, R Heremans… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
The 2013 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC)
of the IEEE Geoscience and Remote Sensing Society aimed at investigating the synergistic …

Road segmentation for remote sensing images using adversarial spatial pyramid networks

P Shamsolmoali, M Zareapoor, H Zhou… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
Road extraction in remote sensing images is of great importance for a wide range of
applications. Because of the complex background, and high density, most of the existing …

Morphological attribute profiles for the analysis of very high resolution images

M Dalla Mura, JA Benediktsson… - … on Geoscience and …, 2010 - ieeexplore.ieee.org
Morphological attribute profiles (APs) are defined as a generalization of the recently
proposed morphological profiles (MPs). APs provide a multilevel characterization of an …

Unsupervised feature learning for aerial scene classification

AM Cheriyadat - IEEE Transactions on Geoscience and Remote …, 2013 - ieeexplore.ieee.org
The rich data provided by high-resolution satellite imagery allow us to directly model aerial
scenes by understanding their spatial and structural patterns. While pixel-and object-based …

A coarse-to-fine weakly supervised learning method for green plastic cover segmentation using high-resolution remote sensing images

Y Cao, X Huang - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Green plastic cover (GPC) is a kind of green plastic fine mesh primarily used for covering
construction sites and mitigating large amounts of dust during construction. Accurate GPC …