nach oben

Earth Science Informatics

Erschienen in:

01.07.2022 | Research Article

A new framework for object detection using fastcnn- Naïve Bayes classifier for remote sensing image extraction

verfasst von: K. Kala, N. Padmasini, B. Suresh Chander Kapali, P. G. Kuppusamy

Erschienen in: Earth Science Informatics | Ausgabe 3/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In today's research, remote sensing applications play an important role. It might foresee any crisis, provide weather forecasting updates, geographical research, military security, and so forth. Object detection and recognition of remote sensing satellite images, however, is a difficult task. To solve the problem of distinct in remote sensing images, in this work the system, initially, the dataset goes under the phase of testing and training process. After the data is pre-processed with a fuzzy filter, the features are recovered utilizing an enhanced method by constructing effective CNN based Features from the Accelerated Segment Test feature extraction technique (FASTCNN) Convolutional Neural Network. Object detection classification is done via an optimized Naive Bayes (NB) classifier, which detects objects significantly faster and keeps the system running at a higher accuracy rate. The proposed feature extraction strategy outperforms the previous approach in terms of performance.

Vorheriger Artikel Applying optimum fusion method to improve lithological mapping of sedimentary rocks using sentinel-2 and ASTER satellite images

Nächster Artikel Geometric and radiometric evaluation of remote sensing information in virtual platforms

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Abdullah-Al-Wadud M, Kabir Md H, Dewan MAA, Chae O (2007) A dynamic histogram equalization for image contrast enhancement. IEEE Trans Consum Electron 53(2):593-600

Ali H, Awan AA, Khan S, Shafique O, ur Rahman A, Khan S (2018) Supervised classification for object identification in urban areas using satellite imagery. In 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), pp. 1–4. IEEE

Ashfaq T, Khurshid K (2016) Classification of hand gestures using Gabor filter with Bayesian and naïve Bayes classifier. Int J Adv Comput Sci Appl 7(3):276–279

Cai Z, Vasconcelos N (2019) Cascade R-CNN: high-quality object detection and instance segmentation. IEEE Trans Pattern Anal Mach Intell 43(5):1483–1498CrossRef

Cao C, Wang Bo, Zhang W, Xiaodong Zeng Xu, Yan ZF, Liu Y, Zengyan Wu (2019) An improved faster R-CNN for small object detection. IEEE Access 7:106838–106846CrossRef

Chen T, Lu S, Fan J (2017) S-CNN: Subcategory-aware convolutional networks for object detection. IEEE Trans Pattern Anal Mach Intell 40(10):2522–2528CrossRef

Chen Y, Li W, Sakaridis C, Dai D, Gool LV (2018) Domain adaptive faster r-CNN for object detection in the wild. In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3339–3348

Devi, NB, Kavida AC, Murugan R (2022) Feature Extraction and Object Detection Using Fast-Convolutional Neural Network for Remote Sensing Satellite Image. J Indian Soc Remote Sens 1–13

Gong Y, Xiao Z, Tan X, Sui H, Chuan Xu, Duan H, Li D (2019) Context-aware convolutional neural network for object detection in VHR remote sensing imagery. IEEE Trans Geosci Remote Sens 58(1):34–44CrossRef

Guan T, Zhu H (2017) Atrous faster R-CNN for small scale object detection. In 2017 2nd International Conference on Multimedia and Image Processing (ICMIP), pp. 16–21. IEEE

Jabeen K, Khan MA, Alhaisoni M, Tariq U, Zhang Y-D, Hamza A, Mickus A, Damaševičius R (2022) Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion. Sensors 22(3):807CrossRef

Demir et al. (2018) Deepglobe 2018: A challenge to parse the earth through satellite images. In: Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW), pp. 172_209

Li S, Fan R, Yue G, Hou C, Lei G (2018) A two-channel convolutional neural network for image super-resolution. Neurocomputing 275(31):267–277CrossRef

Liu M, Zhou Z, Shang P, Dong Xu (2019) Fuzzified image enhancement for deep learning in iris recognition. IEEE Trans Fuzzy Syst 28(1):92–99CrossRef

Oh H-J, Syifa M, Lee C-W, Lee S (2019) Ruditapes philippinarum habitat mapping potential using SVM and Naive Bayes J Coast Res 90(SI):41–48

Sengoz N, Yigit T, Ozmen O, Isik AH (2022) Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network. arXiv preprint arXiv:2201.09867

Shin H-C et al (2016) Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning. IEEE Trans Med Imag 35(5):1285–1298CrossRef

Shon D, Noh B, Byun N (2022) Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing. arXiv preprint arXiv:2201.01081

Sirko W, Kashubin S, Ritter M, Annkah A, Bouchareb YSE, Dauphin Y, Keysers D, Neumann M, Cisse M, Quinn J (2021) Continental-scale building detection from high resolution satellite imagery." arXiv preprint arXiv:2107.12283

Sivarani TS (2021) An efficient content-based satellite image retrieval system for big data utilizing threshold based checking method. Earth Sci Inform 14(4):1847–1859CrossRef

Su T-C (2016) A filter-based post-processing technique for improving homogeneity of pixel-wise classification data. European Journal of Remote Sensing 49(1):531–552CrossRef

Wu M, Zhang C, Liu J, Zhou L, Li X (2019) Towards accurate high-resolution satellite image semantic segmentation. IEEE Access 7:55609–55619CrossRef

Wu M, Yue H, Wang J, Huang Y, Liu M, Jiang Y, Ke C, Zeng X (2020) Object detection based on RGC mask R-CNN. IET Image Process 14(8):1502–1508CrossRef

Yang A, Yang X, Wenrui Wu, Liu H, Zhuansun Y (2019) Research on feature extraction of tumor image based on convolutional neural network. IEEE Access 7:24204–24213CrossRef

Zakria Z, Deng J, Kumar R, Khokhar MS, Cai J, Kumar J (2022) Multi scale and direction target detecting in remote sensing images via modified YOLO-v4. IEEE J Select Top Appl Earth Observ Remote Sens

Zhang K, Zuo W, Chen Y, Meng D, Zhang L (2017) Beyond a Gaussian Denoiser: Residual learning of deep CNN for image denoising. IEEE Trans Image Process 26(7):3142–3155CrossRef

Zhang X, Liu Y, Huo C, Nuo Xu, Wang L, Pan C (2022) PSNet: Perspective-sensitive convolutional network for object detection. Neurocomputing 468:384–395CrossRef

Titel: A new framework for object detection using fastcnn- Naïve Bayes classifier for remote sensing image extraction
verfasst von: K. Kala
N. Padmasini
B. Suresh Chander Kapali
P. G. Kuppusamy
Publikationsdatum: 01.07.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 3/2022
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-022-00834-3

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 3/2022

Analysis of positive correlation in magnitude and time measurement for earthquake using electric signals

OpenBioMaps – self-hosted data management platform and distributed service for biodiversity related data

Proposing a Hybrid Genetic Algorithm based Parsimonious Random Forest Regression (H-GAPRFR) technique for solar irradiance forecasting with feature selection and parameter optimization

ET2Spatial – software for georeferencing of eye movement data

Performance evaluation of shallow and deep CNN architectures on building segmentation from high-resolution images

Prediction and analysis of the soil organic matter distribution with the spatiotemporal kriging method

Premium Partner