找回密碼
 To register

QQ登錄

只需一步，快速開始

掃一掃，訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Real time deforestation detection using ANN and Satellite images; The Amazon Rainfores Thiago Nunes Kehl,Viviane Todt,Silvio Cesar Cazell B

[復(fù)制鏈接]
查看: 10909|回復(fù): 35
樓主
發(fā)表于 2025-3-21 16:09:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Real time deforestation detection using ANN and Satellite images
副標(biāo)題The Amazon Rainfores
編輯Thiago Nunes Kehl,Viviane Todt,Silvio Cesar Cazell
視頻videohttp://file.papertrans.cn/823/822243/822243.mp4
概述Development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks.Tool provides parameterization of the co
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Real time deforestation detection using ANN and Satellite images; The Amazon Rainfores Thiago Nunes Kehl,Viviane Todt,Silvio Cesar Cazell B
描述The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.
出版日期Book 2015
關(guān)鍵詞MODIS; amazon rainforest; artificial neural networks; deforestation detection; satellite images classifi
版次1
doihttps://doi.org/10.1007/978-3-319-15741-2
isbn_softcover978-3-319-15740-5
isbn_ebook978-3-319-15741-2Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

書目名稱Real time deforestation detection using ANN and Satellite images影響因子(影響力)




書目名稱Real time deforestation detection using ANN and Satellite images影響因子(影響力)學(xué)科排名




書目名稱Real time deforestation detection using ANN and Satellite images網(wǎng)絡(luò)公開度




書目名稱Real time deforestation detection using ANN and Satellite images網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Real time deforestation detection using ANN and Satellite images被引頻次




書目名稱Real time deforestation detection using ANN and Satellite images被引頻次學(xué)科排名




書目名稱Real time deforestation detection using ANN and Satellite images年度引用




書目名稱Real time deforestation detection using ANN and Satellite images年度引用學(xué)科排名




書目名稱Real time deforestation detection using ANN and Satellite images讀者反饋




書目名稱Real time deforestation detection using ANN and Satellite images讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics
 

0票 0.00%

Better Implies Difficulty
 

1票 100.00%

Good and Satisfactory
 

0票 0.00%

Adverse Performance
 

0票 0.00%

Disdainful Garbage
您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:17:30 | 只看該作者
https://doi.org/10.1007/978-3-319-15741-2MODIS; amazon rainforest; artificial neural networks; deforestation detection; satellite images classifi
板凳
發(fā)表于 2025-3-22 03:17:12 | 只看該作者
地板
發(fā)表于 2025-3-22 08:14:08 | 只看該作者
5#
發(fā)表于 2025-3-22 12:00:27 | 只看該作者
6#
發(fā)表于 2025-3-22 15:58:26 | 只看該作者
Thiago Nunes Kehl,Viviane Todt,Silvio Cesar CazellDevelopment of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks.Tool provides parameterization of the co
7#
發(fā)表于 2025-3-22 17:55:38 | 只看該作者
8#
發(fā)表于 2025-3-23 00:52:40 | 只看該作者
9#
發(fā)表于 2025-3-23 03:56:53 | 只看該作者
2191-5768 nstead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.978-3-319-15740-5978-3-319-15741-2Series ISSN 2191-5768 Series E-ISSN 2191-5776
10#
發(fā)表于 2025-3-23 06:35:27 | 只看該作者
Recommended name, Synonyms, CAS Reg. No.). - .Reaction and specificity. (Catalysed reaction, Reaction type, Natural substrates, Substrate spectrum, Product spectrum, Inhibitors, Cofactors/prosthetic groups, Metal compounds/ salts, Turnover number, Specific activity, KM-value, pH-optimum, pH-range, Temperatur978-3-642-76463-9
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-29 14:55
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
澄迈县| 叶城县| 包头市| 惠来县| 衡东县| 平邑县| 东乡族自治县| 德阳市| 临武县| 井陉县| 永城市| 林周县| 扎鲁特旗| 遵化市| 龙海市| 长岭县| 柳州市| 同仁县| 新绛县| 郎溪县| 张家界市| 佛山市| 永昌县| 玛曲县| 大理市| 买车| 响水县| 高唐县| 海城市| 灵璧县| 金湖县| 巨鹿县| 黎城县| 中西区| 宜川县| 澎湖县| 红桥区| 禹州市| 建平县| 大同县| 乐至县|