Results 21 to 30 of about 2,221 (193)

Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets [PDF]

, 2016
The number of clusters (i.e., the number of classes) for unsupervised classification has been recognized as an important part of remote sensing image clustering analysis.
Dale, Patricia, Ding, Xiaohui, Li, Huapeng, Zhang, Ce, Zhang, Shuqing   +4 more
core   +14 more sources

Evaluating and Analyzing the Potential of the Gaofen-3 SAR Satellite for Landslide Monitoring

Remote Sensing, 2022
Gaofen-3 is the first Chinese spaceborne C-band SAR satellite with multiple polarizations. The Gaofen-3 satellite’s data has few applications for monitoring landslides at present, and its potential for use requires further investigation. Consequently, we
Ningling Wen, Fanru Zeng, Keren Dai, Tao Li, Xi Zhang, Saied Pirasteh, Chen Liu, Qiang Xu   +7 more
doaj   +1 more source

Built-Up Area Extraction from GF-3 SAR Data Based on a Dual-Attention Transformer Model

Remote Sensing, 2022
Built-up area (BA) extraction using synthetic aperture radar (SAR) data has emerged as a potential method in urban research. Currently, typical deep-learning-based BA extractors show high false-alarm rates in the layover areas and subsurface bedrock ...
Tianyang Li, Chao Wang, Fan Wu, Hong Zhang, Sirui Tian, Qiaoyan Fu, Lu Xu   +6 more
doaj   +1 more source

Application and Evaluation of the Gaofen-3 Satellite on a Terrain Survey with InSAR Technology

Applied Sciences, 2020
The Gaofen-3 satellite is the first SAR satellite independently developed in China that achieves interferometric imaging and measurement, which improves upon Chinese civil SAR satellite data.
Yuzhi Zheng, Zhenwei Chen, Guo Zhang
doaj   +1 more source

Automated High-resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge [PDF]

, 2021
In this article, we introduce the 2020 Gaofen Challenge and relevant scientific outcomes. The 2020 Gaofen Challenge is an international competition, which is organized by the China High-Resolution Earth Observation Conference Committee and the Aerospace ...
Dang, B., Diao, W., Fu, K., Guo, J., Hansch, R., Lu, X., Sun, X., Wang, C., Wang, P., Wei, W., Weinmann, M., Xiang, D., Xu, F., Yan, C., Yan, Z., Yang, Z., Yokoya, N., Zhang, Y.   +17 more
core   +2 more sources

Recognition of Microseismic and Blasting Signals in Mines Based on Convolutional Neural Network and Stockwell Transform [PDF]

, 2020
The microseismic monitoring signals which need to be determined in mines include those caused by both rock bursts and by blasting. The blasting signals must be separated from the microseismic signals in order to extract the information needed for the ...
Cheng, J., Grattan, K. T. V., Song, G.
core   +1 more source

Coastline Detection with Gaofen-3 SAR Images Using an Improved FCM Method

Sensors, 2018
The coastline detection is one of the main applications of the Gaofen-3 satellite in the ocean field. However, the capability of Gaofen-3 SAR image in coastline detection has not yet been validated.
Meng An, Qian Sun, Jun Hu, Yuqi Tang, Ziwei Zhu   +4 more
doaj   +1 more source

Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry

IEEE Access, 2019
In this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented.
Lixiang Ma, Yue Wang, Qingjun Zhang, Yu Zhu, Yue Zhang, Mingming Bian   +5 more
doaj   +1 more source

Polarimetric Calibration of the GaoFen-3 Mission Using Active Radar Calibrators and the Applicable Conditions of System Model for Radar Polarimeters

Remote Sensing, 2019
GaoFen-3, the first polarimetric SAR satellite of China, carried out polarimetric calibration experiments using C-band polarimetric active radar calibrators (PARCs), trihedral corner reflectors (TCRs), and dihedral corner reflectors (DCRs).
Weibin Liang, Zengzeng Jia, Xiaolan Qiu, Jun Hong, Qingjun Zhang, Bin Lei, Fan Zhang, Zhaoguo Deng, Aichun Wang   +8 more
doaj   +1 more source

Probabilistic Mangrove Species Mapping with Multiple-Source Remote-Sensing Datasets Using Label Distribution Learning in Xuan Thuy National Park, Vietnam

Remote Sensing, 2020
Mangrove forests play an important role in maintaining water quality, mitigating climate change impacts, and providing a wide range of ecosystem services. Effective identification of mangrove species using remote-sensing images remains a challenge.
Junshi Xia, Naoto Yokoya, Tien Dat Pham
doaj   +1 more source