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检索条件"主题词=object-based segmentation"
15 条 记 录,以下是1-10 订阅
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Estimation of Bamboo Forest Aboveground Carbon Using the RGLM Model based on object-based Multiscale segmentation of SPOT-6 Imagery
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REMOTE SENSING 2023年 第10期15卷 2566-2566页
作者: Lv, Yulong Han, Ning Du, Huaqiang Anji Forestry Bur Anji 313300 Peoples R China Zhejiang A&F Univ Sch Environm & Resources Sci Hangzhou 311300 Peoples R China Zhejiang A&F Univ State Key Lab Subtrop Silviculture Hangzhou 311300 Peoples R China Zhejiang A&F Univ Key Lab Carbon Cycling Forest Ecosyst & Carbon Seq Hangzhou 311300 Peoples R China
Remote sensing is an important tool for the quantitative estimation of forest carbon stock. This study presents a multiscale, object-based method for the estimation of aboveground carbon stock in Moso bamboo forests. ... 详细信息
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Integrating object-based and pixel-based segmentation for building footprint extraction from satellite images
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JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES 2023年 第10期35卷
作者: Abujayyab, Sohaib K. M. Almajalid, Rania Wazirali, Raniyah Ahmad, Rami Tasoglu, Enes Karas, Ismail R. Hijazi, Ihab Int Coll Engn & Management Muscat 112 Oman Saudi Elect Univ Coll Comp & Informat Riyadh 11673 Saudi Arabia Amer Univ Emirates Coll Comp Informat Technol Dubai 503000 U Arab Emirates Nigde Omer Halisdemir Univ Dep Geog TR-51240 Nigde Turkiye Karabuk Univ Dept Comp Engn TR-78050 Karabuk Turkiye An Najah Natl Univ Dept Urban Planning Engn Nablus Palestine
Accurately delineating building footprints from optical satellite imagery presents a formidable challenge, particularly in urban settings characterized by intricate and diverse structures. Consequently, enhancing the ... 详细信息
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Using the traditional microscope for mineral grain orientation determination: A prototype image analysis pipeline for optic-axis mapping (POAM)
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JOURNAL OF MICROSCOPY 2024年 第2期295卷 147-176页
作者: Zamora, Marco Andres Acevedo Schrank, Christoph Eckart Kamber, Balz Samuel Queensland Univ Technol Sch Earth & Atmospher Sci Brisbane Qld 4000 Australia
This paper reports on the development of an open-source image analysis software 'pipeline' dedicated to petrographic microscopy. Using conventional rock thin sections and images from a standard polarising micr... 详细信息
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A new object-class based gap-filling method for PlanetScope satellite image time series
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REMOTE SENSING OF ENVIRONMENT 2022年 280卷
作者: Wang, Jing Lee, Calvin K. F. Zhu, Xiaolin Cao, Ruyin Gu, Yating Wu, Shengbiao Wu, Jin Univ Hong Kong Sch Biol Sci Res Area Ecol & Biodivers Hong Kong Peoples R China Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Hong Kong Peoples R China Univ Elect Sci & Technol China Sch Resources & Environm Chengdu Sichuan Peoples R China Univ Hong Kong Inst Climate & Carbon Neutral Hong Kong Peoples R China Univ Hong Kong Sch Biol Sci Pokfulam Rd Hong Kong Peoples R China
PlanetScope CubeSats data with a 3-m resolution, frequent revisits, and global coverage have provided an unprecedented opportunity to advance land surface monitoring over the recent years. Similar to other optical sat... 详细信息
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Estimating feature extraction changes of Berkelah Forest, Malaysia from multisensor remote sensing data using and object-based technique
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GEOCARTO INTERNATIONAL 2022年 第11期37卷 3247-3264页
作者: Rozali, Syaza Abd Latif, Zulkiflee Adnan, Nor Aizam Hussin, Yousif Blackburn, Alan Pradhan, Biswajeet Univ Teknol MARA UiTM Fac Architecture Planning & Surveying Ctr Studies Surveying Sci & Geomat Appl Remote Sensing & Geospatial Res Grp ARSG Shah Alam Selangor Malaysia Univ Teknol MARA UiTM Inst Biodivers & Sustainable Dev Shah Alam Selangor Malaysia Univ Twente Fac Geoinformat Sci & Earth Observat ITC Dept Nat Resources Enschede Netherlands Univ Lancaster Lancaster Environm Ctr LEC Bldg Lancaster Lancs England Univ Technol Sydney Fac Engn & Informat Technol Sch Informat Syst & Modelling Ctr Adv Modelling & Geospatial Informat Syst CAMG Sydney NSW Australia
The study involves an object-based segmentation method to extract feature changes in tropical rainforest cover using Landsat image and airborne LiDAR (ALS). Disturbance event that are represents the changes are examin... 详细信息
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Identification of salt-affected soils using remote sensing data through random forest technique: a case study from India
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ARABIAN JOURNAL OF GEOSCIENCES 2022年 第5期15卷 1-16页
作者: Rani, Alka Kumar, Nirmal Sinha, Nishant K. Kumar, Jitendra ICAR Indian Inst Soil Sci Div Soil Phys Bhopal 462038 Madhya Pradesh India ICAR Natl Bur Soil Survey & Land Use Planning Div Remote Sensing Applicat Nagpur 440033 Maharashtra India ICAR Vivekananda Parvatiya Krishi Anusandhan Sans Div Crop Prod Almora 263601 Uttarakhand India
Approximately 6.74 million hectares of area is reported to be under salt-affected soils in India. The accurate identification and monitoring of the extent of these salt-affected soils are important for timely decision... 详细信息
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Indexing and segment-level mapping of soil quality in a spatially complex watershed in northern Iran
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ENVIRONMENTAL MONITORING AND ASSESSMENT 2024年 第1期196卷 51-51页
作者: Aghalari, Fatemeh Chavoshi, Elham Borujeni, Sattar Chavoshi Islamic Azad Univ Coll Agr Dept Soil Sci Isfahan Khorasgan Branch Esfahan Iran AREEO Isfahan Agr & Nat Resources Res & Educ Ctr Soil Conservat & Watershed Management Res Dept Esfahan 193951113 Iran
Soil quality (SQ) modeling and mapping is a leading research field aiming to provide reproducible and cost-effective yet accurate SQ predictions at the landscape level. This endeavor was conducted in a complex watersh... 详细信息
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Rapid lithological mapping using multi-source remote sensing data fusion and automatic sample generation strategy
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INTERNATIONAL JOURNAL OF DIGITAL EARTH 2024年 第1期17卷
作者: Zhang, Tao Zhao, Zhifang Dong, Pinliang Tang, Bo-Hui Zhang, Geng Feng, Lunxin Zhang, Xinle Yunnan Univ Inst Int Rivers & Ecosecur Kunming Peoples R China Yunnan Int Joint Lab China Laos Bangladesh Myanmar Kunming Peoples R China Yunnan Key Lab Sanjiang Metallogeny & Resources Ex Kunming Peoples R China Yunnan Univ Sch Earth Sci Kunming Peoples R China Engn Res Ctr Domest High Resolut Satellite Remote Kunming Peoples R China Univ North Texas Dept Geog & Environm Denton TX USA Kunming Univ Sci & Technol Fac Land Resource Engn Kunming Peoples R China Yunnan Prov Dept Educ Key Lab Plateau Remote Sensing Kunming Peoples R China Chinese Acad Sci Inst Geog Sci & Nat Resources Res State Key Lab Resources & Environm Informat Syst Beijing Peoples R China Geol Sci Res Inst Yunnan Prov Kunming Peoples R China
The advancement of remote sensing technology aids geologists in obtaining lithological maps more quickly, comprehensively, and accurately. However, key challenges in lithological mapping include the limited spectral i... 详细信息
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SEMANTIC CONDITIONAL RANDOM FIELD FOR object based SAR IMAGE segmentation  25
SEMANTIC CONDITIONAL RANDOM FIELD FOR OBJECT BASED SAR IMAGE...
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25th IEEE International Conference on Image Processing (ICIP)
作者: Duan, Yiping Tao, Xiaoming Han, Chaoyi Lu, Jianhua Tsinghua Univ Dept Elect Engn Beijing Natl Res Ctr Informat Sci & Technol Beijing 100084 Peoples R China
Conditional random filed (CRF) model relaxes the conditional independence of the observed data and simultaneously captures the spatial contextual information. However, the single spatial contextual model is difficult ... 详细信息
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Fast Sequential Feature Extraction for Recurrent Neural Network-based Hyperspectral Image Classification
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2021年 第7期59卷 5920-5937页
作者: Ma, Andong Filippi, Anthony M. Wang, Zhangyang Yin, Zhengcong Huo, Da Li, Xiao Guneralp, Burak Texas A&M Univ Dept Geog College Stn TX 77843 USA Univ Texas Austin Dept Elect & Comp Engn Austin TX 78705 USA Texas A&M Transportat Inst Bryan TX 77807 USA
Classification is a critical, widely employed type of hyperspectral image (HSI) processing. Recently, deep learning models have been attracting more attention within the hyperspectral remote-sensing community due to t... 详细信息
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