میری جان پاکستان
محبت کی زباں میرا وطن ہے
وفا کی داستاں میرا وطن ہے
زندگی تو جیسے بھی ہوگزر جاتی ہے، سورج آگ برسا رہا ہو،موسم سرما کی یخ بستہ ہوائیں شدت کی سردی کا سبب بن رہی ہوں ، موسم بہار میں گلستان کے گلہائے رنگارنگ خوبصورتی بکھیر رہے ہوں۔ ہرلمحہ ہر آن زندگی کاہمامحو پرواز رہتا ہے، لیکن وہ شخص قابل صد افتخار ہے جو زندگی کی بو قلو موینوں سے محبت و پیار سے نبردآزما ہوتا ہے، اور محبت و پیارکی پتنگیںاُس وقت تک نہیں چڑھائی جا سکیں گی جب تک ماحول خوشگوار نہ ہو اور انسیت بھری فضاء نہ ہو۔
اللہ تعالیٰ کا لاکھ لاکھ شکر ہے کہ اللہ تعالیٰ نے ہمیں پاکستان کی صورت میں نعمت غیر متر قبہ سے نواز رکھا ہے۔ اس سے محبت ہمارانہ صرف طبعی تقاضا ہے کہ ہمارے عزیز واقارب یہاں رہائش پذیر ہیں ، ہماری سانسوں کی یہاں آمدورفت ہورہی ہے، اس کے شجر، اس کے حجر ہماری زندگی میں ایک اہم اور فعال کردار ادا کرتے ہیں۔ بلکہ اس سے محبت ہمارے ایمان کا حصہ ہے۔ فرمانِ رسالت مآب صلی اللہ علیہ و آلہٖ وسلم ہے کہ ’’ حب الوطن من الایمان‘‘ وطن سے محبت ایمان کا حصہ بھی ہے۔ ہمارے تو ایمان کی تکمیل ہی وطن سے محبت میں مضمر ہے۔ اگر محبت اور پیار ہے تو ایمان مکمل ہے، اگر وطن سے پیار اور محبت نہیں ہے تو دعویٰ ایمان حقیقت سے یکسر خالی ہے۔
میں کیوں نہ کہوں کہ پاکستان میری جان ہے، میری آن ہے، میری شان ہے۔ انسان اس فانی زندگی میں بھی اپنی جان سے بڑھ کر محبت اور پیار کرتا ہے ، جان کی حفاظت بھی ایمان کی ضروریات میں سے ہے۔ کیونکہ جان سلامت ہے تو پھر ایمان بھی سلامت ہے۔ اور جان کے تحفظ کے...
As all of know that start of the revelation of Holy Qur’ān started with imperative form of the verb as it is ended with like that. This shows that the imperative mood is one of the most magnificent topics of an Arabic language، particularly in the Qur’ān context. According to the opinion of the major scholars، both the commencement and conclusion of the Holy Qur’ān were in the imperative mood. Thereupon، the scholars of Arabic language took a keen interest in study of meanings of the imperative mood whether literal or figurative. From the abovementioned point of view the following article attempts to study the meanings of imperative mood، whether they are literal or figurative، and also it endeavors along with its connotations in the light of what is stated in the Holy Qur’ān and Sunn’āh as well as in the sources of Arabic language، to lead those who recite the Holy Qur’ān to the right way، guide them to the truth and to help them in understanding of the secret meanings of Qur’ān.
A significant problem in satellite imagery is geometric distortion. Accurate remote sensing and high resolution satellite images have made it necessary to revise the geometric correction techniques used for ortho-rectification. Conventional methods of photogrammetric modeling of remotely sensed images are insufficient for mapping purposes and need to be substituted with more rigorous approach to get a true orthophoto. FORMOSAT-2, a newly launched remote sensing Taiwanese satellite, has high spatial resolution sensor onboard for a daily revisit orbit. However, like any image acquisition system, it also produces geometric distortions in its raw images. Pixel Projection Model (PPM) was devised by National Space Program Office (NSPO) Taiwan, for processing of Level-1A (Raw) satellite images to Level-2 (radio metrically corrected) images. Being systematically corrected, Level-2 images still possess terrain elevation, rotation-translation and geometric distortions. There was a dire need for enhancement of this model to produce Level-3 (geometrically corrected) image products. A novel method for Level-3 correction of satellite images, especially suited for FORMOSAT-2, has been developed. The PPM has been enhanced to cater for geometric distortions caused by the attitude change in the satellite specifically in the pre-processing stage. The three attitude angles of the satellite are thus calculated and corrected as per the ground position or coordinates using least squares adjustments. The approach is based on non-systematic method in which physical modeling of the satellite imagery is considered. The mathematical model has been developed to calculate and correct instrument bias/ attitude angles. Ground Control Points have been integrated in the algorithm besides vertex matching iifor more precise results. Results were verified by computing MSE for image to image matching and point to point matching. An improvement of 86.3% was obtained for the new Level-3 correction technique over the existing Level-2 algorithm. Three conventional interpolation techniques for transformation of image pixels to earth coordinate system were also analyzed for improvement. The experimental results show that the cubic convolution based modeling is best suited for output pixel value transformation but it is computationally complex with a higher execution time. To improve this, a wavelet- transform based filter (Daubechies 4) was developed for image pixel transformation. The new method provides similar visual interpretation as cubic convolution but with much lower computational complexity and execution time. The proposed wavelet-transform based method is an order of magnitude faster than the cubic interpolation technique. Level-3 geometrically corrected FORMOSAT-2 images can be used for disaster investigation/ prediction, environmental monitoring, vegetation evaluation, and multi- temporal image matching. In our work, we have focused on the application of geometrically corrected imagery for disaster investigation.