Books & Book Chapters Published
Authored / Edited (06) Books and (23) Book Chapters
Sl. | Title of the book | Name of the publisher | Institutions where referred for study |
01 | Computer Communication and Security | Renuka Prakashan, Aurangabad | Dr. B. A. M. University |
02 | Advanced in Computer Vision and Information Technology | I. K. International Pvt. Ltd, New Delhi | Research reference at Dr. B. A. M. University |
03 | Computer Vision and Information Technology: Advances and Applications | I. K. International Pvt. Ltd, New Delhi | Research reference at Dr. B. A. M. University |
04 | Understanding MATLAB | Shroff Pub & Dist. Pvt. Ltd, Mumbai | Solapur University, Solapur |
05 | Face Recognition Using Principal Component Analysis | LAP Lambert Academic Publishing | Research reference at Dr. B. A. M. University & other Universities |
06 | Iris Image Feature Extraction using Multiwavelet Approach | LAP Lambert Academic Publishing | Research reference at Dr. B. A. M. University & other Universities |
Book Chapters:
- Parminder Kaur Birdi, Karbhari Kale, Varsha Ajith (2021).Spatial Data Mining of Agricultural Land Area Using Multi-spectral Remote-Sensed Images, In Data Intelligence and Cognitive Informatics, (PP 457-469), Springer, Singapore
- Shende, K. V., Kumar, M. R., & Kale, K. V. (2020). Comparison of Neural Network Training Functions for Prediction of Outgoing Longwave Radiation over the Bay of Bengal. In Computing in Engineering and Technology (pp. 411-419). Springer, Singapore.
- V. Kale, MM Solankar, DB Nalawade (2019) Hyperspectral Endmember Extraction Techniques. In: Processing and Analysis of Hyperspectral Data, DOI: 10.5772/intechopen.78179, ISBN: 978-1- 78985-110-6.
- Nagne, A. D., Vibhute, A. D., Dhumal, R. K., Kale, K. V., & Mehrotra, S. C. (2019). Urban LULC Change Detection and Mapping Spatial Variations of Aurangabad City Using IRS LISS-III Temporal Datasets and Supervised Classification Approach. In Data Analytics and Learning (pp. 369-386). Springer, Singapore.
- Surase, R. R., Kale, K. V., Varpe, A. B., Vibhute, A. D., Gite, H. R., Solankar, M. M., & Nalawade,
- B. (2019). Assessment of EO-1 Hyperion Imagery for Crop Discrimination Using Spectral Analysis. In Microelectronics, Electromagnetics and Telecommunications (pp. 505-515). Springer, Singapore.
- Gaikwad, S. V., Vibhute, A. D., Kale, K. V., Dhumal, R. K., Nagne, A. D., Mehrotra, S. C., & Surase,
- R. (2019). Drought Severity Identification and Classification of the Land Pattern Using Landsat
Data Based on Spectral Indices and Maximum Likelihood Algorithm. In Microelectronics, Electromagnetics and Telecommunications (pp. 517-524). Springer, Singapore.
- Birdi, P. K., & Kale, K. V. (2019). Accuracy Assessment of Classification on Landsat-8 Data for Land Cover and Land Use of an Urban Area by Applying Different Image Fusion Techniques and Varying Training Samples. In Microelectronics, Electromagnetics and Telecommunications (pp. 189-198). Springer, Singapore.
- Dhumal, R. K., Vibhute, A. D., Nagne, A. D., Solankar, M. M., Gaikwad, S. V., Kale, K. V., & Mehrotra, S. C. (2019). A Spatial and Spectral Feature Based Approach for Classification of Crops Using Techniques Based on GLCM and SVM. In Microelectronics, Electromagnetics and Telecommunications (pp. 45-53). Springer, Singapore.
- Gite, H. R., Solankar, M. M., Surase, R. R., & Kale, K. V. (2018, December). Comparative Study and Analysis of Dimensionality Reduction Techniques for Hyperspectral Data. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 534-546). Springer, Singapore.
- Nalawade, D. B., Solankar, M. M., Surase, R. R., Varpe, A. B., Vibhute, A. D., Dhumal, R. K., & Kale, K. (2018, December). Hyperspectral Remote Sensing Image Analysis with SMACC and PPI Algorithms for Endmember Extraction. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 319-328). Springer, Singapore.
- Vibhute, A. D., Gaikwad, S. V., Dhumal, R. K., Nagne, A. D., Varpe, A. B., Nalawade, D. B., & Mehrotra, S. C. (2018, December). Hyperspectral and Multispectral Remote Sensing Data Fusion for Classification of Complex-Mixed Land Features Using SVM. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 345-362). Springer, Singapore.
- Varpe, A. B., Surase, R. R., Vibhute, A. D., Nalawade, D. B., & Kale, K. V. (2018, December). Role of Lens Position and Illumination Source for Acquiring Non-imaging Hyperspectral Data to Estimate Biophysical Characteristics of Leaves. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 391-396). Springer, Singapore.
- Gaikwad, S. V., Vibhute, A. D., Kale, K. V., Nalawade, D. B., & Jadhav, M. B. (2018, December). Design and Development of Ground Truth Collection Platform Using Android and Leaflet Library. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 520- 528). Springer, Singapore.
- Surase, R. R., Kale, K. V., Solankar, M. M., Varpe, A. B., Gite, H. R., & Vibhute, A. D. (2018, December). Crop Discrimination Based on Reflectance Spectroscopy Using Spectral Vegetation Indices (SVI). In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 312-322). Springer, Singapore.
- Solankar, M. M., Gite, H. R., Surase, R. R., Nalawade, D. B., & Kale, K. V. (2018, December). Impact of Dimensionality Reduction Techniques on Endmember Identification in Hyperspectral Imagery. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 493-504). Springer, Singapore.
- Dhumal R.K., Vibhute A.D., Nagne A.D., Kale K.V., Mehrotra S.C. (2017). Performance Analysis of Spectral Features Based on Narrowband Vegetation Indices for Cotton and Maize Crops by EO-1 Hyperion Dataset. In: Behera H (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, pp 581-590, vol 556. Springer, Singapore, DOI: 10.1007/978- 981-10-3874-7_55, ISBN 978-981-10-3874-7
- Nagne A.D., Dhumal R., Vibhute A., Kale K.V., Mehrotra S.C. (2017) Comparative Analysis of Different Land Use–Land Cover Classifiers on Remote Sensing LISS-III Sensors Dataset. In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, pp 523-532,vol 556. Springer, Singapore, DOI: 10.1007/978-981-10-3874-7_49, ISBN 978-981-10-3874-7
- Nazneen Akhter, Sumegh Tharewal, Vijay Kale, Ashish Bhalerao, K. V. Kale, (2016). Heart-Based Biometrics and Possible Use of Heart Rate Variability in Biometric Recognition Systems. Advances in Intelligent Systems and Computing , Volume 1, 15-29, Chaki, R., Cortesi, A., Saeed, K., Chaki,
- (Eds.), Springer Advanced Computing and Systems for Security, DOI 10.1007/978-81-322-2650- 5_2, Print ISBN 978-81-322-2648-2, Online ISBN 978-81-322-2650-5
- Shaikh, H. Gite, R. R. Manza, K. V Kale, and N. Akhter. (2016). Segmentation of Thermal Images Using Thresholding-Based Methods for Detection of Malignant Tumours. Intelligent Systems Technologies and Applications 2016, M. J. Corchado Rodriguez, S. Mitra, M. S. Thampi, and E.-S. El-Alfy, Eds. Cham: Springer International Publishing, pp. 131–146.
- Akhter, N., Tharewal, S., Kale, V., Bhalerao, A., & Kale, K. V. (2016). Heart-based biometrics and possible use of heart rate variability in biometric recognition systems. In Advanced Computing and Systems for Security (pp. 15-29). Springer, New Delhi.
- Vibhute, A. D., Dhumal, R. K., Nagne, A. D., Rajendra, Y. D., Kale, K. V., & Mehrotra, S. C. (2016). Analysis, classification, and estimation of pattern for land of Aurangabad region using high- resolution satellite image. In Proceedings of the Second International Conference on Computer and Communication Technologies (pp. 413-427). Springer, New Delhi.
- N Akhter, H Gite, G Rabbani, K Kale. (2015). Heart Rate Variability for Biometric Authentication Using Time-Domain Features. In Security in Computing and Communications, Vol. 536, pp. 168– 175, Abawajy, J.H., S., Thampi, S.M., Ruiz-Martínez, A. (Eds.) Springer CCIS 7899, ISBN 978-3- 319-22914-0, Springer, Berlin, Germany, 2015.