Results 11 to 20 of about 2,900 (227)

Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data

Remote Sensing, 2020
Target detection in remote sensing imagery, mapping of sparsely distributed materials, has vital applications in defense security and surveillance, mineral exploration, agriculture, environmental monitoring, etc. The detection probability and the quality
Sudhanshu Shekhar Jha, Rama Rao Nidamanuri   +1 more
doaj   +1 more source

Crops Fine Classification in Airborne Hyperspectral Imagery Based on Multi-Feature Fusion and Deep Learning

Remote Sensing, 2021
Hyperspectral imagery has been widely used in precision agriculture due to its rich spectral characteristics. With the rapid development of remote sensing technology, the airborne hyperspectral imagery shows detailed spatial information and temporal ...
Lifei Wei, Kun Wang, Qikai Lu, Yajing Liang, Haibo Li, Zhengxiang Wang, Run Wang, Liqin Cao   +7 more
doaj   +1 more source

LAND COVER CHANGE DETECTION BASED ON GENETICALLY FEATURE AELECTION AND IMAGE ALGEBRA USING HYPERION HYPERSPECTRAL IMAGERY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
The Earth has always been under the influence of population growth and human activities. This process causes the changes in land use. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes.
S. T. Seydi, M. Hasanlou
doaj   +1 more source

A Tool for Analysis of Spectral Indices for Remote Sensing of Vegetation and Crops Using Hyperspectral Images

Entre Ciencia e Ingeniería, 2019
Food requirements in the world have increased, evidencing the necessity to improve standard techniques of agricultural production. To do so, one option is through technological elements like hyperspectral remote sensing of vegetation and crops.
David Ruiz Hidalgo, Bladimir Bacca Cortés, Eduardo Caicedo Bravo   +2 more
doaj   +1 more source

Classification of Different Winter Wheat Cultivars on Hyperspectral UAV Imagery

Applied Sciences, 2023
Crop phenotype observation techniques via UAV (unmanned aerial vehicle) are necessary to identify different winter wheat cultivars to better realize their future smart productions and satisfy the requirement of smart agriculture.
Xiaoxuan Lyu, Weibing Du, Hebing Zhang, Wen Ge, Zhichao Chen, Shuangting Wang   +5 more
doaj   +1 more source

Precise Crop Classification Using Spectral-Spatial-Location Fusion Based on Conditional Random Fields for UAV-Borne Hyperspectral Remote Sensing Imagery

Remote Sensing, 2019
The precise classification of crop types is an important basis of agricultural monitoring and crop protection. With the rapid development of unmanned aerial vehicle (UAV) technology, UAV-borne hyperspectral remote sensing imagery with high spatial ...
Lifei Wei, Ming Yu, Yajing Liang, Ziran Yuan, Can Huang, Rong Li, Yiwei Yu   +6 more
doaj   +1 more source

YOLOrs: Object Detection in Multimodal Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Deep-learning object detection methods that are designed for computer vision applications tend to underperform when applied to remote sensing data. This is because contrary to computer vision, in remote sensing, training data are harder to collect and ...
Manish Sharma, Mayur Dhanaraj, Srivallabha Karnam, Dimitris G. Chachlakis, Raymond Ptucha, Panos P. Markopoulos, Eli Saber   +6 more
doaj   +1 more source

Impervious Surface Information Extraction Based on Hyperspectral Remote Sensing Imagery [PDF]

Remote Sensing, 2017
The retrieval of impervious surface information is a hot topic in remote sensing. However, researches on impervious surface retrieval from hyperspectral remote sensing imagery are rare. This paper illustrates a case study of information extraction from urban impervious surfaces based on hyperspectral remote sensing imagery that is intended to improve ...
Fei Tang, Hanqiu Xu
openaire   +1 more source

Non-Local Sparse Unmixing for Hyperspectral Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
Sparse unmixing is a promising approach that acts as a semi-supervised unmixing strategy by assuming that the observed image signatures can be expressed in the form of linear combinations of a number of pure spectral signatures that are known in advance.
Yanfei Zhong, Ruyi Feng, Liangpei Zhang
openaire   +1 more source

Classifying Hyperspectral Remote Sensing Imagery With Independent Component Analysis

IEEE Visualization 2005 - (VIS'05), 2005
In this paper, we investigate the application of independent component analysis (ICA) to remotely sensed hyperspectralimage classification. We focus on the performance of Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm, although the proposed method is applicable to other popular ICA algorithms.
Du, Qian, Kopriva, Ivica, Szu, Harold
openaire   +3 more sources